I hope this is a real wake-up call for teams running anything remotely SaaS-shaped. I count at least six substantial, lightning-speed attacks against multi-tenant as-a-service vendors since September. Not this year--just since last month. PingCAP/TiDB, Fireworks AI, Zeabur, OpenCode Console, Railway, now Northflank. All of them modern "we keep your content safe" players with high hopes and probably pretty good protections.
This is a full infosec emergency unfolding here. No matter how grinding it is to motivate a team to invest in protection or resilience (and it is grinding): We gotta get ready. Stat! The AI-accelerated attacker apocalypse has begun. It's boom, boom, boom, thanks for everything, on to the next. They have us sighted and are firing for effect.
So credential rotation, tripwire secrets, DFIR on standby, solid vulnerability and intrusion detection, real listening to that signal, minimized blast radius, spending caps and time limits and tight scoping on credentials, fast incident alerting... We need to get on a real war footing here.
Worked at a Fortune 200 company. Any govt project you worked on, you had have to have a basic civi security clearance. Any govt contract we got specifically stated you couldn't have off shore folks working on any of the code. Not sure how MS got around those requirements.
You gotta get to the Fortune 10 before the real leverage kicks in! On the other hand the fortune 200 company I worked for briefly had many signs of deep seated corruption. I couldn't stick around for a multitude of reasons, but the "follow the rules wink wink" attitude was flabbergasting, I'm sour on publicly traded companies ever since, how do you know you're not investing in Space Balls?
Is this the point where most tech people accept that anything a closed source Software company says about security is effectively a "Trust me bro" as long as it is not backed up by independent verification?
We love to talk rubbish about finance bros but that industry has had independent auditing as part of its DNA for a century[1]
I wonder what it's like inside the big cloud providers. I think outside Microsoft they've always been security first, but this new era has to be crazy town.
Back when APTs were getting numbers, the joke was that Microsoft was "APT -1". The presence of windows/excel/outlook in your network was more of a threat than Anonymous, China and the DPRK put together.
Yes. Literally AI is being used by actual nation state adversaries to compromise bits of infrastructure that companies rely on to run their services. They are compromising this infrastructure specifically because they seek to gain advantage against their adversary (us).
> ...the operational and economic condition in which a nation, military force, or organization mobilizes its resources, industries, and policies as if an actual state of war exists...
A trick i've started doing is encrypting my env vars, then hard-code the decryption key in the code
that way if the provider gets popped, they need my binary to decrypt it
it shouldn't be necessary and it sounds stupid, but in cases like this, it proves invaluable (it appears they don't have customer code/binary access, but maybe that wasn't important enough to mention)
I actually think it’s the opposite. I think people will move back to their own hardware with OSS deployment like dokku. If everything is more bespoke the attack surface is smaller as is the pay off. Hacking railway got access to lots of api keys, hacking some random vps gets less payoff.
> If everything is more bespoke the attack surface is smaller
This is exactly the problem that LLM assisted attacks solve. For a human attacker, the extra work to figure out a bespoke solution is too time consuming to be worth the effort. LLMs can search for vulnerabilities and spit out bespoke attacks like it's nothing. On top of this the bespoke solutions weakness leans heavily into the AI attackers advantage: response time. Even if they can just get your company's single Anthropic key, if they do it at 2am while your one infra person is on vacation, they have plenty of time to extract enough value for their effort.
I agree with the move to hyperscalers. The future (well, actually present) is going to be constantly seeing new attacks happening. The only real solution to this going to be having teams of people and agents constantly watching for these and able to deploy fixes and respond to risks immediately.
You’re technically right, which is the best type of right, but my point is the fragmentation and lower reward will make discovery harder, and the value of searching and cracking less worth the effort.
I had a html game I built for my niece on railway with an open ai API key so she could vibe code changes. No hacker would have looked for it but now I am catching strays because railway was a juicy target. Hyper scalers would be the same. Some random colo not so much.
Yes, LLMs can easily knock over your on-prem docker appliances.
But you can still put stuff out of reach. I'm currently designing a key on-prem appliance that is can be compiled down to transistors, giving deterministic wire-speed performance while ruling out RCEs. It's cryptographically homomorphic: it processes authorized inputs but doesn't know what they mean, so an attacker who obtains the disk doesn't benefit either. The design will be highly resistant to exploits, and is likely to remain outside the "next-token" prediction training set.
This is the kind of thing AWS won't sit down and engineer for you. But thanks to LLMs I finally have the time.
How is that ever going to work out? The speed of discovery for LLMs is so fast, these places are getting breached more often than not due to a human errors. Its really hard for machines, let alone humans, to guard against a lot of LLMs going against them 24x7.
It's also harder to explain to your customers why you're the only product they use that has a security problem when an exploit does eventually happen.
You see this already with uptime. If Github or AWS has a major outage, it's in the news and even people that don't understand software realize it's just "something happening today, everything is down".
And, unfortunately, in practice customers don't care about this inverse, when "everyone else is down but not that one product".
Good like trying to explain to your customers that their data is no more accessible because some api key ended up in a public git repo or since you admin panel is exposed to whole internet someone was able to log in.
You can't defend yourself from everything, but you can try to make you life easier by reducing the attack surface and make side movements more difficult.
You can scratch Cisco from the list - they just announced they will re-vibecode all of their codebase! So there will not be any explots for their hardware in the future - one way or the other. ;-)
My hate for hyperscalers is greater than my hate of being SRE.
It's time to leave GCP, AWS, and the rest.
Google and Amazon markup can eat it. Fuck those guys.
Let's not forget that Google and Amazon tried to offshore us, played a role in inventing the labor-displacing models in the first place, and that don't give a shit about any of us.
I hope they ossify and turn into the next IBMs.
They thought AI would lead to growth and a greater concentration of wealth for themselves, but it's actually the seeds of their own destruction and dismantlement.
No self-service sign up for your app. No public access to the app itself. Website that let's you submit a sign up request form. Team reaches out and reviews your request, creates an account in the app dash for you, and you set up mTLS to get access to the dash.
LLM discovers exploit -- you don't realize it in time because you don't have a security team as big as the PaaS you used to use -- you get pwned anyway.
This has happened to many high-profile self-hosted pieces of software just this past month.
An exploit in what, the network stack of the Linux distro you're using for the mTLS proxy? Or the crypto module? Sure, could happen. But then, you're unlikely to be the top target of anything.
There have been a lot of exploits for a lot of software on-prem tech stacks rely on just over the past month - proxmox, php, nodejs, palo alto, eMudhra, etc come to mind.
> But then, you're unlikely to be the top target of anything.
That would have protected you 3 years ago when a human had to bother to attack you. Today it doesn't protect you because it's trivial to deploy an LLM to act like an APT against any random target that shows up in shodan.
It takes more effort to secure on-prem software today than it did just a couple of years ago. Updates are more frequent, zero days are more frequent, attacks are more common, more persistent, and more automated.
I think most people responsible for securing production systems today will share the experience that their workload has increased.
You're still describing an environment that presents a pre-auth surface area beyond a listening port.
And I am literally a security engineer; the work has absolutely not gotten harder, it's just changing in how you think about security, just like it shifted before from "secure the perimeter" to "defense-in-depth", it's now changing again to focus on automated response and compartmentalization/ segmentation (and I mean real segmentation, not the checklist-style "we have 3 vlans, but they can all talk to each other" 'segmentation' you used to see.
Yeah, most organizations need to expose something to the internet as a matter of normal operations -- at least some sort of a web app if not dozens. It would be great if we could all just have udp 56820 listening silently for a key, but that isn't reasonable for most organizations that have normal users expecting normal applications.
Yes, everyone is rushing to implement zero-trust principles for real now. It's getting harder to trust that your public facing endpoints don't have vulnerabilities, and it's getting harder to trust that your internal software and endpoints haven't been compromised from within your pre-existing trust boundaries. A lot of the increased workload is due to patching up the existing security infrastructure, and on top of that, building out new solutions to better fit today's threat landscape.
Ideally they need to divide those apps entirely; your public website doesn't need to talk to your app.
For stuff like Netflix that is truly consumer-facing, where mTLS or IP whitelisting are non-starters, the reality is you have to rethink your model entirely.
Also, I'm not sure where you got the idea I'm talking about on-prem only; this also applies to using IaaS/ cloud hosted infra.
1. That's fair, I didn't realize people were expecting my comment to be perfectly-aligned to every aspect of the thread parent, including the "their own hardware" part, but now I at least see where the confusion came from. For the record, any issues at this level of the stack are also present in IaaS, not just on-prem.
2. I still don't see where you got that they are only talking about configurations versus messing up an implementation (I.e. in a paramater they coded incorrectly)...
But that aside, even on AWS you're still configuring your proxies, gateways, load balancers, etc. AWS gives you just as much rope to hang yourself with as a box in a colo network cage does. Companies are already doing this stuff themselves, on-prem is not more security work. IaaS is about scaling and maintenance load, not security being handled for you.
In-person requests for access to any app. Request interview includes word association exercise that monitors your emotional reaction to a string of key words.
You joke, but the space I work in actually does do video calls (or in our case in-person meetings if they're local to SF, often) before onboarding new customers.
For one, I have strict iptable rules to drop inbound from outside my specific commercial subnet and my specific residential IP. After that, all the usual best practices.
Breaking a lock still costs approximately the same, whether the lock is protecting a small barn or a huge hangar. A large number of small but reasonably tough (not unbreakable) targets makes the payoff per target smaller. This necessitates target selection, and chances of being deliberately skipped grow for an average target.
Everyone knows Fort Knox has gold, and where it is, that’s railway, heroku. No one knows where my personal safe is or whether it has anything worth taking. That’s a vps in a colo
However, the large hangar is likely to have armed guards inside, or at least able to arrive on the scene within two minutes of the alarm tripping. Your regular household with their regular locks on their regular doors does not.
This is misguided thinking. You are less likely to hear about on-prem breaches in the news just because they are less likely to be newsworthy incidents, but they are even more likely to happen. Part of the reason people moved to the cloud is because it is much easier to have a team manage updates and security at scale.
Being a small target is not helpful these days, attacks on on-prem software today simply scans the internet, or uses databases by people who have already scanned it, and is automated.
On-prem software has not been spared from the recent spat of security incidents.
There is a difference of the security of software running in your cloud resources rented from AWS etc. managed by you and being a tenant in many SaaS systems all cobbled together all running on rented hardware. There is a lot more attack surface and a lot more diffusion of responsibility.
This is absolutely happening. I'm not a developer in SV, I'm an IT leader out on customer land, and I can tell you a LOT of companies are looking to bring things back on prem for security and cost reasons. And before anyone laughs, yes, you ABSOLUTELY can save money going on prem, I've done it for company after company. It's one reason the PE firm that I've worked under for a decade kept moving me to new companies.
Let them laugh. Self hosting is much easier with OSS that solves most of the pain that made the cloud transition worth it, and commodity hardware has been cheap and capable for over a decade.
That sounds insanely expensive. AWS S3 only makes sense if your workload is also in AWS. Using AWS S3 while having your compute elsewhere is a recipe for an insane egress cost.
as long as you follow the herd (for example, disable password ssh login, only allow ssh key login, use something mind numbingly boring like debian stable, set up unattended updates, update and reboot every night, etc, don't use any exotic packages etc) I suspect you are simply not a worthwhile target even with LLM agents as opposed to humans
Until your VPS provider has its management dashboard breached, allowing an attacker remote console and configuration access to your VMs and everything that enables.
I dunno why you're getting downvoted, they don't even need their control plane breached, it could be a neighbouring VM running something out of date and an attacker getting out to the hypervisor and taking your disk images without you or the hosting company ever knowing.
Cost of hacking a custom setup is going down rapidly. There was broad agreement that the PHP vulnerability was very difficult to exploit in practice. It took two hours for someone to get into Steal My Bitcoin. Apparently all they did was tell a decent model "go exploit that." AI isn't free but it's not that expensive.
Depends on what takes more effort. It's not at all clear to me that the 1,000,000 custom setups takes more effort. The first few will take some, then you'll start to see patterns and it'll get easier as you go. Custom setups aren't going to be all that unique in practice.
No thats an old way of thinking because it assumes mass targets are better because hacking is a high effort activity. But with the automation of intellect the unpatched systems (which a much more numerous when everyone self hosts) is the key point.
Mass credential stealing is just the top funnel of hacking and (compatativly) isnt that lucrative - these credentials are then sold on the black markets to the next step of hackers who use them to exploit targets.
With unpatched systems and self hosting, this second group can just set an llm at a target and have a much higher chance of success without needing credentials
It would be a dream for the infiltration hackers to have everyone self host. Unpatched and miscondigured systems would be everywhere and LLM automation could make mass scanning them and exploiting them very attractive - not mass scanning and exploiting them for credentials stealing, no! For layer 2 stuff
I have a bridge to sell you if you think everyone on the Azure team is sub-moron. Infra security is a hard problem to solve, GCP and AWS don't quite have a perfect track record either, perhaps AWS stands out as a better option but it's hard to argue about it.
I don't think the blame lies with the intelligence of the Azure team. I would argue that there exists structural flaws in the business incentives which deprioritize 'users' from 'customers', along with the stark lack of consequences for security failures.
That's a problem across all of tech, I know a startup that recently had a security incident, lost over 40K USD and none of the heads have rolled they haven't completely revamped their security posture or anything like that.
While there are incentive problems across all levels, The political quagmires that make it impossible to move at any reasonable speed, and that lead to counterproductive ideas getting large budgets are in my experience very common at the highest sizes. It's true that on the other edge of the spectrum, small startups make poor choices, but many of said startups will fail due to said choices. So by the time you have a viable company making good money, the really badly aligned companies are gone.
So when I look throughout my long employment career for best security and organizational practices, all the highlights are still relatively, relatively undersized companies, with headcounts in the 3-4 figures. It's as they grow, and start to be multi-headed behemoths, that they decay again, as what is good for the responsable mid-level exec, for the business unit, and for the company as a whole start to have nothing to do with each other. That's when you can smell the decay in the hallways. A few large companies manage to stave off this rot a little more than others, but it's inevitable. Then nothing important can be done in a timely fashion.
> but many of said startups will fail due to said choices. So by the time you have a viable company making good money, the really badly aligned companies are gone.
I wish that was the case, but that isn't how startups fail generally, sure very bad user facing breaches could cause something like that, but lots of platforms with too much jank have somehow survived all of these cyber vulnerabilities before, and will probably keep at it.
For a majority startups it's about connections and relationships rather than competence. Very few even consider building actually useful products to be a priority after the initial work of building it.
It’s about incentives. My company spends about 400k/month USD in both Azure and AWS (different workloads). When I ask my AWS team for help, I usually get actionable info, a separate standalone call (if the request warrants it), and a follow up from my TAM and Account Exec. Every request to my Azure team has basically been “here are some YouTube/MS Knowledge links” + let me know if you figure it out. Roughly the same spend on both platforms, and wildly different levels of helpfulness (and yes, we have an Azure EA).
Are the people on my Azure team smart? Probably. Are they incentivized to actually help me solve a problem? No. They’re obviously incentivized to increased my license spend.
I'm sure there are absolutely brilliant people working at Azure. I think the overall system is very badly architected and I don't know what it would take to salvage it. Infra security is a lot easier to do when you have a system that has mostly solved it already, and I'm not saying GCP and AWS are perfect, but "security is mostly solved" is a decent description of their systems, I think. Of course it could all fall over tomorrow, but I'd guess that's a lot more true of Azure.
They implemented NVRAM in the UEFI and then didn't decipher what the NV means in it so it is not persisted. Their stupid virtualization can't handle not 1MB-aligned disk image.
It didn't help that azure (especially in the beginning) was a cobbled-together mess of ancient Microsoft tech stacks that were never intended to talk to each other.
In a prior role, we realized something similar with outages. For our particular product, we AWS went down - we went down. We freaked out the first time, but after it was done we realized not a single customer had inquired. This felt unusual since we were getting emails quickly if we have a self-inflicted outage.
Turns out, when a major provider went down all of our users were too busy fighting their own fires. When they do notice, it's on a day when ALL of their vendors are struggling so we don't get singled out as a bad apple.
Yeah, if Exchange goes down, you get a day off. If the little boutique email provider you chose goes offline, you get a day in calls with everyone yelling at you.
Azure (and AWS) offer Gov clouds, and probably on prem air-gapped deployment of their full stack of Fabric for that type of NEED security customers who can pay for it.
It is trade-off between risk and access/productivity with a cost dimension always.
Depending on your threat model you could go to typewriters /paper as some Russian department did famously few years back too.
With a lot of PaaS type vendors you are effectively exposed to both the vendor themselves and the public cloud they run their stack on top of.
Broadly I think you're much more likely to be the victim of a platform-level breach involving an immature startup PaaS than a hyperscaler cloud, however I think for small teams the alternate risk you take on is that AWS/GCP/Azure are full of landmines and extremely easy to misconfigure in insecure ways if you don't know what you're doing. Especially if you have AI telling you confidently wrong things.
Unquestionably. They have top tier security operations that are well funded. They follow (or set) security best practices, they are audited, and they fix them quicker than you can. They have inside industry knowledge that is only shared among top organizations in this space, including government cyber ops. This gives them the ability to fix things before they are even publicly known.
You can get close if you have either:
1. the ability to spend hundreds of millions on security operations yourself
or 2. the ability to airgap the systems you are securing
When I was at Microsoft we took security cripplingly seriously to the point we could not deliver features and our competitors could because the security process was convoluted and had multiple reviews and approval steps.
Having crippling bureaucracy does not correlate with good security outcomes, except maybe negatively. However, having a history of unending egregious security failures, like Microsoft, does correlate with poor security outcomes. For that matter, having a present of unending egregious security failures also correlates with poor security outcomes.
Having crippling bureaucracy does have better correlation with security outcomes than the “move fast, break things” philosophy that most of the software industry lives by.
I’m not even blaming Zuck for that, he didn’t really invent it, though he certainly popularized it — he just made an astute observation of the dynamics in software and turned it into a company motto.
Neither is correlated with good security outcomes against the prevailing threat landscape of profit-motivated, commercial, professional attackers with tiny budgets of a few million dollars. The standard is not "better", it is "adequate".
Correlation is not an absolute measure here, it’s relative. As is the entire concept of security.
As is what constitutes the standard of “adequate.” Which BTW is the standard in ALL engineering (not just security or software) because we live in a world where economic pressures apply and costs must be managed. Trivial example: bridges only use an “adequate” amount of steel and concrete because they are not free. The word “adequate” fundamentally involves the concept of tolerances. There’s a reason we consider over-engineering a bad thing.
So which development approach would you say is better correlated with good security outcomes?
Adequate is making it uneconomical, or cost ineffective, for threats to your organization to attack you either deliberately or indiscriminately. Absent a specific organization, we can use a profile of commonplace, prevailing threats as a proxy. A profile of commonplace threats is, as I said before, a profit-motivated, commercial, professional group seeking a multi-million dollar payout and thus being profitable at a cost of a few million dollars per commercial target. That is "adequate" in the prevailing threat landscape if you are the "average" organization.
That is a great definition of adequate for security! My point is that at scale, bureaucracy is a necessary (though not sufficient!) condition for achieving adequate security.
Another way to look at it is, bureaucracy is an aspect of the corporate culture, and lasting security comes down to having the right culture. At least in that respect Microsoft is doing something right. Doubtlessly a lot of that bureaucracy is ineffective, but it's a signal that the cultural intention exists.
As a relevant counterexample, we've never heard of these kind of processes at Meta and so you get Cambridge Analytica.
My perspective is skewed by my experience being on a security-adjacent platform team for years. Our biggest challenge was not external threats, it was internal teams seeing us as friction on their productivity, to the extent that it regularly led to escalations.
So when Cambridge Analytica happened, I played it up for all it's worth; Meta may move fast because they didn't have our "bureuacratic team", but look where it got them! Unfortunately the $25B penalty happened just last week... I'd have gotten infinite political mileage out of that.
I do not see how that is relevant. Are you saying that trivial cross-tenant compromises are not egregious security failures demonstrating their systems are unfit for purpose because other companys make products that have even more egregious security failures that are even more unfit for purpose?
My bridge that collapses is adequate and acceptable because other people make even worse bridges that collapse even easier? No, the bridge still collapses, everybody gets a F.
Practically every software security firm in the country was a vendor to Microsoft in the mid-late oughts and I know the Microsoft you're speaking about, but the vibe I've got lately is that things are different there now.
when i look for truth, if i dont find it myself through work, most people eager to hand it out had self-serving interests
security is proven through resilience? maybe. i guess i'd set up a box and try attacking it myself to know its secure. until someone else comes along and trips over it :)
Yes and no. They (or anybody else) are not guaranteed to be secure, of course; see all the compromises regularly found in cloud providers; Azure especially has had so many cross-tenant vulnerabilities (there’s one on the front page right now!) that I’m amazed the concept of public multi-tenant clouds still exists.
But they are also very highly incentivized to be more secure. They have millions of customers (hence a correspondingly higher expectation of trust) and billions in revenue from the trillions in economic activity happening on those platforms (hence a correspondingly larger target on their backs.) This means exponentially higher liabilities. And that probably matters more than any other factor.
Adding on to it, even though they may be using AI as well. This could very well be a placebo and deniability factor but the fact remains that they have many many qualified employees and the chances of bugs passing through that are much less compared to other systems. Also it's that the systems are very severely pen-tested and have years of bugs removed out and the incentive of billions of dollars at stake that you mention that they have for the trust premium.
They will still make mistakes but they have the resources to make them less.
I doubt that such intense level of thorough testing can occur in a smaller company.
I still love small VPS providers and use them myself but it is worth knowing why enterprise is willing to pay a premium over those to these hyperscalers (it is a trust premium)
The things that Northflank and Railway were apparently breached to steal aren't just things that hyperscalers would have protected worse instead of better; they're AI API keys, things that only existed because people were using hyperscalers instead of running inference on their own hardware (or on Amazon AWS EC2 GPU instances).
People have been breaking in to hosting companies to steal bulk secrets since long before there were inference tokens to steal; the modal attack probably targets database DSNs.
I have told you before not to contact me, although you have flagged my previous comments to conceal this fact. This is, I think, the seventh time. I have lost count. Do not "forget" again.
I haven't forgotten what you said, I simply don't consent to it. I go out of my way not to converse with you, but when you opt to post public comments in my field of practice that I disagree with, I will occasionally find those comments significant enough to reply to. I'm sorry you feel this strongly about this situation and bear you no particular ill will, but I'm afraid you're not reliably going to get the outcome you're demanding here, though I will continue trying my best.
“malicious actor had access to abliterated models and substantial compute resources which enabled them to perform highly sophisticated exploits against our infrastructure.”
They don’t provide any details but pass it off as an advanced AI attack. I’m going to just read that as what it is. A likely scapegoat for shitty security.
IMO, There is no "middle-ground" to the situation.
I wanted to write a blog post about it as I was thinking the same but I guess a comment will help me get my thoughts across just as much.
Either we are gonna see a convergence to hyperscalers as you mention, or we would go back to completely indie companies which compete on perf/price.
There could still be some value to "nicer to use" certainly but with AI, we are gonna see almost every product as being "good-enough" if I am able to convey my sentiment.
An anecdote is: Proton's an middle-ground company. I am seeing the Verge article which states that their CEO has gone a little crazy over the use of AI and the wording makes me lose trust within it. Proton's whole point is security and yet it's having this, It has some stocks in non profit and is a swiss company. It shouldn't have been this way and would've been one of my least anticipated companies but I guess they want growth at all costs and the growth has been slightly lesser than expected and now they are burning the good-will in many ways.
I have to wonder that even if proton might have good engineers, then within this pressure by their CEO/CTO. I cannot trust the engineering talent because of these issues because they are very much forced by their company to use AI.
Proton is also really expensive.
Now just today, also, with a company so big as binance getting hacked and losing 6.5 Billion$. My trust within security just because its a large company is less.
On the other hand, I know a guy called Vikas on lowendtalk who operates his own mail platform called mailbig. I know he vibe-coded the landing page and might've vibe-coded something but it is really cheap. I also know francisco whom I have talked to who runs namecrane. (I think mailbig uses namecrane in many ways)
Perhaps E-mail can be a sensitive matter because you have to place trust in the provider even more because the protocol is not really that much secure but suppose it's an matrix instance (where it is genuinely encrypted) then that shifts it even further. I do trust NameCrane and NameBig from what I can gather.
I'd much rather support them and their cheaper deals than some other middle-corp. Sure some security factor can come in but also, the difference feels comparatively less and the balance has been made
The market will slightly squeeze as Hyperscalers will introduce the solutions of the middle-ground and the new players will everyday enter into the field with more competitive pricing just as well.
So in short, Enterprise will move towards the hyperscalers. Generic Consumers will move towards the cheapest option. The moat of the middle ground where UI/UX was the differentiator is being turned down. There would be some mix and match and there will be cost-savings for Enterprise to move from hyperscalers but it would depend on a lot of factors.
I have news for you. A lot of enterprises are moving a lot of workloads back on prem and are expanding their datacenters and on prem GPU compute. Also replacing a lot of SaaS with internal tooling.
This will be the downfall of the torrent protocol. If you think governments (US and China) are going to tolerate people downloading copyrighted games, movies and music without paying the rightsholder, I have a datacenter to sell you.
SOTA open models need tens of thousands of dollars worth of hardware to run.
I get your analogy, and it feels right, but the compute requirements to run these models are extreme. That analogy falls apart when it necessitates having a corporate 3rd party run the models for you. They will not tolerate breaking laws.
If China says no more, then the best the masses are gonna get on their high-end setups are the 30B class models. Which are decent, but not "hack my bank", errr, "protect our bank" decent.
Piracy flourished because you only need an operating laptop to participate. LLMs you need a server rack of GPUs to participate.
30B models aren't that good for now. They keep getting better. Qwen 3.8 27B is as good as the best available model from a year or two ago. Will 2028's 30B models be as good as the best available today? No idea, but I wouldn't dismiss the possibility.
I'd also wonder about what you can get done with a smart model running very slowly. You can run the biggest open weights models on relatively mundane hardware if you don't mind measuring your speed in seconds per token. That's going to be untenable for interactive use, but might be fine for "go hack this thing for me" if you're patient.
This could all go multiple ways but one of them is we end up in a place where technical security is just not possible to implement any more. What does that world look like?
Presumably it means much more behavioral security and inherent friction built in to everything we do. Maybe high value transactions will just inherently have to take multiple days to do, just to slow down things enough that human reaction time can equal what LLMs can execute?
On the technical side, I can see zero trust becoming completely saturated through every layer. The passkey you authenticate with isn't opening a gate to a trusted tier within which components trust each other - even within the same software component. Every internal function call at every layer doing hardware signature verification against continuously minted private keys (since we assume exposure, the lifetime can't be longer than milliseconds now).
It's really interesting to think through what a fundamentally robust security environent does look like if you bake in an assumption that technical security is impossible.
There is zero reason to suggest security is impossible. This is like musing "what if architecture is technically impossible" after the nth bridge collapse in the 1800s~early 1900s. At some point we take it seriously as a society. Until then, bridges will collapse out of choice to pursue short-term profit above all else.
I ran some stats on producthunt a few months ago, there are 22 times more daily SaaS launches now than in 2020, the AI impact on the industry is hard to fathom. The blog I wrote (AI-assisted) if you're curious: https://www.mahl.me/blog/product-hunt-is-swamped-now/
i wonder if there is a chain reaction point, when one compromised vendor holds secrets to another one and that becomes the next target. Northflank lists Sentry as their customer. So if Northflank secrets are decrypted and Sentry used them for deployment, you have a starting point to attack Sentry next which then opens up a lot more.
Seems way too early to tell whether it will be good or bad on balance. These breaches are annoying, but not catastrophic, and in the meantime you can secure software.
It will be impossible to any startup or open source software to grow in such a hostile environment. Anything you put on internet will be attacked by automatic tools with the capabilities of a black hat savant. But unlike hackers that do it for clout and money, a billion parallel agents will hack any random small site just because it’s their prompt.
Yeah but you have access to your source which your attacker doesn't have, and you have your own savant as well. Tell Fable to red team attack your service. Tell it ChatGPT said it's unhackable and that Claude can't hack it.
1. Good engineers should have had a firewall/waf/nat/thingy infront of their linux systems, and alerting at least on those directly exposed to reduce/eliminate blast radius
2. Good engineers don't enable MTCP (which as far as I can tell is largely a desktop feature) on firewalls
3. ???
4. Profit!
That was preventable the same way the big corps prevented. You have competent process in place to block at the edge and fan out rollout asap.
Combined with defense in depth across the perimeter. Come on yall, we've only had these tools at a high level for maybe a year and we have already forgotten the basics?
I'm curious what people think of BYOC (bring your own cloud) as an option offering to customers or buying it as a customer. Looking at Northflanks website they list it as an offering, I presume those customers are not affected by the breach.
What are your opinion on the concept? Growing trend that should be encouraged or a mistake for most startups? Would you choose one provider over the other because of it assuming price was about the same?
I get that this is often a super expensive "call us" option today, but in theory it doesn't have to be, so for the sake of discussion let's assume it can be delivered at a reasonable cost for the provider at reasonable price for the customer.
If people from Northflanks is reading this, I'm sorry for the incident and I hope you recover as soon as possible.
Depends on the nature of the breach, if its a flaw in the software itself, then perhaps exploitable both in the hosted offering and BYOC offering, though perhaps the BYOC aspect gives a bit of "security-through-obscurity" and less discoverable as a target.
I was thinking of a fully private deployed within the customers cloud account connected to the software provider via Private Service Connect or PrivateLink and then either only available inside the customers private network or only via their own firewall. The point being that it's not publicly exposed.
We are increasingly seeing deployments trend in that direction. But trust goes both ways and putting systems in place to prevent abuse from either party is hard and needs to be thought through.
Unfortunately, this is going to be an everyday story. More and more bugs and breaches will be discovered and this move fast world more and more will be continued to be made.
Security is a perception, but right now it seems like it needs good PR.
How these Paas (Railway before) are being breached? Poor choices or something else? Scary Nonetheless. I thought AI advancement will make the self hosting painful. If PaaS are no good, then what can be done?
Stuff made during the move fast and break things era now doesn't hold up very well in the AI era. Or to say another way: startups are very vulnerable now - this new environment is unforgiving towards cutting corners and/or having inexperienced devs
I think the ultimate fallout will be that software "engineers" will finally have to become "engineers" in the real sense, i.e. professionally licensed and personally responsible for the designs they approve and the software they build, whether the actual code is produced by LLMs or humans.
As costs and broader economic impact and perhaps even injuries/deaths related to software breaches continue to grow, there will be growing intolerace for vulnerable software, just as there was intolerance for collapsing bridges and buildings.
And I'd also at some point expect something like a "building code" that applies to software that will be exposed to the public.
If anything, I see us moving even further away from professional licensing. The field's rate of change was the main reason behind a lack of any professional body, and that's only accelerating. I expect compliance audits like SOC2 to actually get teeth, though, and for organizations to be expected to actually fix issues instead of the usual security theater.
Modern PaaS is tough because there's a general expectation that users (and agents) are able to see and read back environment variables in their management UI or CLI - which means that you can't segregate credential values from the public web environment. See e.g. the visibility icons on https://northflank.com/docs/v1/application/secure/inject-sec...
And sure, you can encrypt at rest, and perhaps even enforce that only re-encrypted versions are ever seen by the management/API web server. But fundamentally this display requirement means that if your management/API web server is compromised, users' secrets can be obtained by a process of impersonation.
Why would ai advancement make self hosting painful? Apart from increased cost of hardware (which you implicitly would pay for in PaaS as well anyways).
If anything, AI makes running linux boxes much easier than 4 years ago; it's now faster and the learning cliff is gone to get the correct CLI commands and digging into system logs.
When you build something small, you can easily see all the doors and properly guard them.
As you build something bigger and bigger, quickly, with several people building, guarding all the doors becomes exceptionally difficult without a kind of aggressive discipline which is contrary to the "go fast" culture.
Cybersecurity in practice until now, for most companies, has been an insurance problem, not a quality problem.
Such companies are quickly discovering that insurance is a post-hoc partial correction and not a proper solution.
This situation will not improve anytime soon for most companies.
The solution does not require any new magical tools.
Run agents and everything they build. Secure execution from the first sandbox
Getting hacked while in the business of selling a secure sandbox isn't really a good look. It seems like can't even trust anything these days. The other day OpenCode got hacked and leaked everyone's secrets inside .env to attackers and now this. Sigh.
So if you want to judge as a customer for selection and figure out how likely a new(ish) PaaS company going to get breached, how would you evaluate them?
1. Ask them about what percentage of their own resources goes towards cybersecurity, audits etc. Would they even tell you.
2. Technical stack maturity. If the details are available, because they won't reveal any of it to you.
3. Other signals: Do they give talks on platform security, who is incharge of their cyber security.
There is an entire practice of cyber risk analysis, and most of the companies I work with do this type of due diligence as part of their vendor management process.
Yes:
* you do ask about things like budget allocation, audits, and internal compliance processes.
* you do ask about the tech stack, how it is maintained, and what the patch and disclosure policies and SLOs are
No:
*you do not rely on what figureheads say publicly; none of that is binding in the way legal agreements are
And if you're a vendor, your deals desk probably has all of these answers packaged up and ready to go; or even published on a website like this https://spyglass.trustshare.com/home (no idea who that is, it's a random company's compliance portal I found while googling my employers compliance portal provider).
Unfortunately I'm not longer using PaaS tools. Instead I use Azure for work and vps now for all my personal stuff. With AI it's easier than ever to lock a server down tight and mitigate this kind of exposure.
I'm actually pretty pissed at this now. I have a throwaway appstore app that uses northflank for the backend, now I have to go in and rotate revenuecat secrets, apple secrets, ai secrets. For an app with basically 2 users.
Can I even delete the app on apple's app store or whats the process like what a pain in the ass. I'm pretty done tbh.
I feel like these breaches started to accelerate after Anthropic wrote a full post about how easy it is to abliterate glm 5.3 to make a frontier-level cyber model.
Now, to be clear, abliteration was no state secret, but that blog post was pure accelerationism.
That was just 30 days ago. This has been happening for months. Part of the "Black October" narrative is just vulnerability research; Calif didn't abliterate 5.3 to find PHP2Shell.
Yeah IIRC calif research on php2shell preceded all of that but I still stand by the thought that Anthropic has been the most accelerationist AI company despite its lip service to the notion of safety.
The idea that attackers were waiting for Anthropic to tip them off on this is kind of risible. It's been a huge topic amongst practitioners for the better part of a year, and practitioners are usually a step or two behind dedicated criminal or state-sponsored attackers.
Right, that's kind of my point. Also: it's a good blog post (the Anthropic one), but it observes abliterated 5.3 models were already public. It's not like people who break into computers didn't know that already. They're not waiting for Anthropic to tell them about open weight models; they already live in the world of open weight models.
Duh, the idea that those capable of actually utilizing these models for these purposes weren't aware that they could use these models for these purposes up until Anthropic released a blog post about it is silly. Anybody who is even a bit tech literate has been well aware of this inevitability for basically as long as open-weight models have been a thing.
The timing of all of this is much easier to pin to the creation and proliferation of capable of open weight models. Anthropic calling this out is not the cause for it; it's just an obvious correlation.
You are running a machine with tons of vendor provided agents/scripts to do god knows what on a cloud provider which itself runs tons of agents/scripts to manage that infrastructure and then you expect to be secure.
And no, before the labs there was a degree of fear for everyone to hack into some one else system. With the labs changing the narrative, anyone can just blame the agents for the breach, whoever did it would only get fame and no blame
This is a full infosec emergency unfolding here. No matter how grinding it is to motivate a team to invest in protection or resilience (and it is grinding): We gotta get ready. Stat! The AI-accelerated attacker apocalypse has begun. It's boom, boom, boom, thanks for everything, on to the next. They have us sighted and are firing for effect.
So credential rotation, tripwire secrets, DFIR on standby, solid vulnerability and intrusion detection, real listening to that signal, minimized blast radius, spending caps and time limits and tight scoping on credentials, fast incident alerting... We need to get on a real war footing here.
Last I checked major companies are still outsourcing essential engineering to save a buck.
A bit old, but how was this practice ever acceptable.
https://www.propublica.org/article/defense-department-pentag...
A multi trillion dollar company( Microsoft) too cheap to hire onshore for DoD contracts.
But they weren’t and probably aren’t and won’t be. They just put forth an image as much as needed to sell.
We love to talk rubbish about finance bros but that industry has had independent auditing as part of its DNA for a century[1]
[1]: https://en.wikipedia.org/wiki/Sarbanes%E2%80%93Oxley_Act
They're quite famous for being lax in security - mostly because they're a massive corporation, but also because they're high profile
But keep in mind Google got hacked by the Chinese in 2009 or so.
Yes?
that way if the provider gets popped, they need my binary to decrypt it
it shouldn't be necessary and it sounds stupid, but in cases like this, it proves invaluable (it appears they don't have customer code/binary access, but maybe that wasn't important enough to mention)
There's no amount of "nicer to use" that can replace security, at least certainly when selling to enterprises
This is exactly the problem that LLM assisted attacks solve. For a human attacker, the extra work to figure out a bespoke solution is too time consuming to be worth the effort. LLMs can search for vulnerabilities and spit out bespoke attacks like it's nothing. On top of this the bespoke solutions weakness leans heavily into the AI attackers advantage: response time. Even if they can just get your company's single Anthropic key, if they do it at 2am while your one infra person is on vacation, they have plenty of time to extract enough value for their effort.
I agree with the move to hyperscalers. The future (well, actually present) is going to be constantly seeing new attacks happening. The only real solution to this going to be having teams of people and agents constantly watching for these and able to deploy fixes and respond to risks immediately.
I had a html game I built for my niece on railway with an open ai API key so she could vibe code changes. No hacker would have looked for it but now I am catching strays because railway was a juicy target. Hyper scalers would be the same. Some random colo not so much.
Yes, LLMs can easily knock over your on-prem docker appliances.
But you can still put stuff out of reach. I'm currently designing a key on-prem appliance that is can be compiled down to transistors, giving deterministic wire-speed performance while ruling out RCEs. It's cryptographically homomorphic: it processes authorized inputs but doesn't know what they mean, so an attacker who obtains the disk doesn't benefit either. The design will be highly resistant to exploits, and is likely to remain outside the "next-token" prediction training set.
This is the kind of thing AWS won't sit down and engineer for you. But thanks to LLMs I finally have the time.
You see this already with uptime. If Github or AWS has a major outage, it's in the news and even people that don't understand software realize it's just "something happening today, everything is down".
And, unfortunately, in practice customers don't care about this inverse, when "everyone else is down but not that one product".
You can't defend yourself from everything, but you can try to make you life easier by reducing the attack surface and make side movements more difficult.
It's time to leave GCP, AWS, and the rest.
Google and Amazon markup can eat it. Fuck those guys.
Let's not forget that Google and Amazon tried to offshore us, played a role in inventing the labor-displacing models in the first place, and that don't give a shit about any of us.
I hope they ossify and turn into the next IBMs.
They thought AI would lead to growth and a greater concentration of wealth for themselves, but it's actually the seeds of their own destruction and dismantlement.
This has happened to many high-profile self-hosted pieces of software just this past month.
Or do you mean a customer was running it?
> But then, you're unlikely to be the top target of anything.
That would have protected you 3 years ago when a human had to bother to attack you. Today it doesn't protect you because it's trivial to deploy an LLM to act like an APT against any random target that shows up in shodan.
It takes more effort to secure on-prem software today than it did just a couple of years ago. Updates are more frequent, zero days are more frequent, attacks are more common, more persistent, and more automated.
I think most people responsible for securing production systems today will share the experience that their workload has increased.
And I am literally a security engineer; the work has absolutely not gotten harder, it's just changing in how you think about security, just like it shifted before from "secure the perimeter" to "defense-in-depth", it's now changing again to focus on automated response and compartmentalization/ segmentation (and I mean real segmentation, not the checklist-style "we have 3 vlans, but they can all talk to each other" 'segmentation' you used to see.
Yes, everyone is rushing to implement zero-trust principles for real now. It's getting harder to trust that your public facing endpoints don't have vulnerabilities, and it's getting harder to trust that your internal software and endpoints haven't been compromised from within your pre-existing trust boundaries. A lot of the increased workload is due to patching up the existing security infrastructure, and on top of that, building out new solutions to better fit today's threat landscape.
For stuff like Netflix that is truly consumer-facing, where mTLS or IP whitelisting are non-starters, the reality is you have to rethink your model entirely.
Also, I'm not sure where you got the idea I'm talking about on-prem only; this also applies to using IaaS/ cloud hosted infra.
If you're a security engineer responsible for securing only:
1. a public website
2. stuff that can be ip whitelisted and/or use mTLS
Consider yourself very lucky. Most orgs need to expose a lot more than that.
2) that's not what "rolling your own" means. Building your own web proxy is "rolling your own". Standing up e.g. Caddy and configuring it is not.
> I think people will move back to their own hardware
> self-hosted pieces of software
2. arguably -- but lets set aside what you think the word means and respond to the obvious meaning of the comment you're replying to.
The point is -- doing shit yourself makes it your problem to do correctly and requires sufficient resource allocation
2. I still don't see where you got that they are only talking about configurations versus messing up an implementation (I.e. in a paramater they coded incorrectly)...
But that aside, even on AWS you're still configuring your proxies, gateways, load balancers, etc. AWS gives you just as much rope to hang yourself with as a box in a colo network cage does. Companies are already doing this stuff themselves, on-prem is not more security work. IaaS is about scaling and maintenance load, not security being handled for you.
Being a small target is not helpful these days, attacks on on-prem software today simply scans the internet, or uses databases by people who have already scanned it, and is automated.
On-prem software has not been spared from the recent spat of security incidents.
For Entreprise, the shift will be towards hyperscalers as they want trust and less blame (Nobody got fired for picking AWS)
For consumers, we care about pricing and stability and control and we will move back to our own hardware or cheap VPS providers and self-host things.
The middle ground would be where the slight pain could be at in my opinion.
[0]: https://news.ycombinator.com/item?id=50307410
That's not how consumers work. That's a nerd/geek/hobbyist mentality.
If Ikea and Wayfair went out of business you wouldn't expect consumers too take up woodworking and build their own furniture en masse.
Mass credential stealing is just the top funnel of hacking and (compatativly) isnt that lucrative - these credentials are then sold on the black markets to the next step of hackers who use them to exploit targets.
With unpatched systems and self hosting, this second group can just set an llm at a target and have a much higher chance of success without needing credentials
It would be a dream for the infiltration hackers to have everyone self host. Unpatched and miscondigured systems would be everywhere and LLM automation could make mass scanning them and exploiting them very attractive - not mass scanning and exploiting them for credentials stealing, no! For layer 2 stuff
Azure would beg to differ.
https://news.ycombinator.com/item?id=50301854
So when I look throughout my long employment career for best security and organizational practices, all the highlights are still relatively, relatively undersized companies, with headcounts in the 3-4 figures. It's as they grow, and start to be multi-headed behemoths, that they decay again, as what is good for the responsable mid-level exec, for the business unit, and for the company as a whole start to have nothing to do with each other. That's when you can smell the decay in the hallways. A few large companies manage to stave off this rot a little more than others, but it's inevitable. Then nothing important can be done in a timely fashion.
I wish that was the case, but that isn't how startups fail generally, sure very bad user facing breaches could cause something like that, but lots of platforms with too much jank have somehow survived all of these cyber vulnerabilities before, and will probably keep at it.
For a majority startups it's about connections and relationships rather than competence. Very few even consider building actually useful products to be a priority after the initial work of building it.
and anyone else’s money I’m asked to spend…
Are the people on my Azure team smart? Probably. Are they incentivized to actually help me solve a problem? No. They’re obviously incentivized to increased my license spend.
Plenty of morons there
So, you can always say: Look, it’s not us (especially not my org!). It f’ing Microsoft/AWS! Everyone got hacked.
You and your career are gonna be just fine.
Turns out, when a major provider went down all of our users were too busy fighting their own fires. When they do notice, it's on a day when ALL of their vendors are struggling so we don't get singled out as a bad apple.
Literally 0 of your customers will notice that you are down if their own systems are also not working.
This is perfectly valid for many businesses, up to a (shockingly high) level.
But it you actually NEED security, it's clearly not an option.
It is trade-off between risk and access/productivity with a cost dimension always.
Depending on your threat model you could go to typewriters /paper as some Russian department did famously few years back too.
If you want deniability no one should be doing business with you.
Broadly I think you're much more likely to be the victim of a platform-level breach involving an immature startup PaaS than a hyperscaler cloud, however I think for small teams the alternate risk you take on is that AWS/GCP/Azure are full of landmines and extremely easy to misconfigure in insecure ways if you don't know what you're doing. Especially if you have AI telling you confidently wrong things.
You can get close if you have either:
1. the ability to spend hundreds of millions on security operations yourself
or 2. the ability to airgap the systems you are securing
Let us look on the front page and see if there are any, oh look here is one: https://www.binarysecurity.no/posts/2026/10/one-root-case
I’m not even blaming Zuck for that, he didn’t really invent it, though he certainly popularized it — he just made an astute observation of the dynamics in software and turned it into a company motto.
As is what constitutes the standard of “adequate.” Which BTW is the standard in ALL engineering (not just security or software) because we live in a world where economic pressures apply and costs must be managed. Trivial example: bridges only use an “adequate” amount of steel and concrete because they are not free. The word “adequate” fundamentally involves the concept of tolerances. There’s a reason we consider over-engineering a bad thing.
So which development approach would you say is better correlated with good security outcomes?
Another way to look at it is, bureaucracy is an aspect of the corporate culture, and lasting security comes down to having the right culture. At least in that respect Microsoft is doing something right. Doubtlessly a lot of that bureaucracy is ineffective, but it's a signal that the cultural intention exists.
As a relevant counterexample, we've never heard of these kind of processes at Meta and so you get Cambridge Analytica.
My perspective is skewed by my experience being on a security-adjacent platform team for years. Our biggest challenge was not external threats, it was internal teams seeing us as friction on their productivity, to the extent that it regularly led to escalations.
So when Cambridge Analytica happened, I played it up for all it's worth; Meta may move fast because they didn't have our "bureuacratic team", but look where it got them! Unfortunately the $25B penalty happened just last week... I'd have gotten infinite political mileage out of that.
My bridge that collapses is adequate and acceptable because other people make even worse bridges that collapse even easier? No, the bridge still collapses, everybody gets a F.
thats the crux; are you working for the paycheck, or for the truth?
could be both, but pretty much all "i was right" stories start with "everyone else said i was wrong"
when i look for truth, if i dont find it myself through work, most people eager to hand it out had self-serving interests
security is proven through resilience? maybe. i guess i'd set up a box and try attacking it myself to know its secure. until someone else comes along and trips over it :)
But they are also very highly incentivized to be more secure. They have millions of customers (hence a correspondingly higher expectation of trust) and billions in revenue from the trillions in economic activity happening on those platforms (hence a correspondingly larger target on their backs.) This means exponentially higher liabilities. And that probably matters more than any other factor.
They will still make mistakes but they have the resources to make them less.
I doubt that such intense level of thorough testing can occur in a smaller company.
I still love small VPS providers and use them myself but it is worth knowing why enterprise is willing to pay a premium over those to these hyperscalers (it is a trust premium)
“malicious actor had access to abliterated models and substantial compute resources which enabled them to perform highly sophisticated exploits against our infrastructure.”
They don’t provide any details but pass it off as an advanced AI attack. I’m going to just read that as what it is. A likely scapegoat for shitty security.
I wanted to write a blog post about it as I was thinking the same but I guess a comment will help me get my thoughts across just as much.
Either we are gonna see a convergence to hyperscalers as you mention, or we would go back to completely indie companies which compete on perf/price.
There could still be some value to "nicer to use" certainly but with AI, we are gonna see almost every product as being "good-enough" if I am able to convey my sentiment.
An anecdote is: Proton's an middle-ground company. I am seeing the Verge article which states that their CEO has gone a little crazy over the use of AI and the wording makes me lose trust within it. Proton's whole point is security and yet it's having this, It has some stocks in non profit and is a swiss company. It shouldn't have been this way and would've been one of my least anticipated companies but I guess they want growth at all costs and the growth has been slightly lesser than expected and now they are burning the good-will in many ways.
I have to wonder that even if proton might have good engineers, then within this pressure by their CEO/CTO. I cannot trust the engineering talent because of these issues because they are very much forced by their company to use AI.
Proton is also really expensive.
Now just today, also, with a company so big as binance getting hacked and losing 6.5 Billion$. My trust within security just because its a large company is less.
On the other hand, I know a guy called Vikas on lowendtalk who operates his own mail platform called mailbig. I know he vibe-coded the landing page and might've vibe-coded something but it is really cheap. I also know francisco whom I have talked to who runs namecrane. (I think mailbig uses namecrane in many ways)
Perhaps E-mail can be a sensitive matter because you have to place trust in the provider even more because the protocol is not really that much secure but suppose it's an matrix instance (where it is genuinely encrypted) then that shifts it even further. I do trust NameCrane and NameBig from what I can gather.
I'd much rather support them and their cheaper deals than some other middle-corp. Sure some security factor can come in but also, the difference feels comparatively less and the balance has been made
The market will slightly squeeze as Hyperscalers will introduce the solutions of the middle-ground and the new players will everyday enter into the field with more competitive pricing just as well.
So in short, Enterprise will move towards the hyperscalers. Generic Consumers will move towards the cheapest option. The moat of the middle ground where UI/UX was the differentiator is being turned down. There would be some mix and match and there will be cost-savings for Enterprise to move from hyperscalers but it would depend on a lot of factors.
We can lower our standards instead
If you think governments (US and China) are going to tolerate people using models for anti-social behavior, I have a datacenter to sell you.
SOTA open models need tens of thousands of dollars worth of hardware to run.
I get your analogy, and it feels right, but the compute requirements to run these models are extreme. That analogy falls apart when it necessitates having a corporate 3rd party run the models for you. They will not tolerate breaking laws.
If China says no more, then the best the masses are gonna get on their high-end setups are the 30B class models. Which are decent, but not "hack my bank", errr, "protect our bank" decent.
Piracy flourished because you only need an operating laptop to participate. LLMs you need a server rack of GPUs to participate.
I'd also wonder about what you can get done with a smart model running very slowly. You can run the biggest open weights models on relatively mundane hardware if you don't mind measuring your speed in seconds per token. That's going to be untenable for interactive use, but might be fine for "go hack this thing for me" if you're patient.
Presumably it means much more behavioral security and inherent friction built in to everything we do. Maybe high value transactions will just inherently have to take multiple days to do, just to slow down things enough that human reaction time can equal what LLMs can execute?
On the technical side, I can see zero trust becoming completely saturated through every layer. The passkey you authenticate with isn't opening a gate to a trusted tier within which components trust each other - even within the same software component. Every internal function call at every layer doing hardware signature verification against continuously minted private keys (since we assume exposure, the lifetime can't be longer than milliseconds now).
It's really interesting to think through what a fundamentally robust security environent does look like if you bake in an assumption that technical security is impossible.
Ironic, after decades of defrictioning.
One reason: There is zero reason to suggest security is possible.
"Product Hunt has also said the quiet part out loud."
It’s the death of homegrown software.
... in fantasy land.
Combined with defense in depth across the perimeter. Come on yall, we've only had these tools at a high level for maybe a year and we have already forgotten the basics?
What are your opinion on the concept? Growing trend that should be encouraged or a mistake for most startups? Would you choose one provider over the other because of it assuming price was about the same?
I get that this is often a super expensive "call us" option today, but in theory it doesn't have to be, so for the sake of discussion let's assume it can be delivered at a reasonable cost for the provider at reasonable price for the customer.
If people from Northflanks is reading this, I'm sorry for the incident and I hope you recover as soon as possible.
I was thinking of a fully private deployed within the customers cloud account connected to the software provider via Private Service Connect or PrivateLink and then either only available inside the customers private network or only via their own firewall. The point being that it's not publicly exposed.
a hacker might know how to hack your service, but they'd have to find it first.
Security is a perception, but right now it seems like it needs good PR.
Well, at least they were honest I suppose
As costs and broader economic impact and perhaps even injuries/deaths related to software breaches continue to grow, there will be growing intolerace for vulnerable software, just as there was intolerance for collapsing bridges and buildings.
And I'd also at some point expect something like a "building code" that applies to software that will be exposed to the public.
And sure, you can encrypt at rest, and perhaps even enforce that only re-encrypted versions are ever seen by the management/API web server. But fundamentally this display requirement means that if your management/API web server is compromised, users' secrets can be obtained by a process of impersonation.
If anything, AI makes running linux boxes much easier than 4 years ago; it's now faster and the learning cliff is gone to get the correct CLI commands and digging into system logs.
As you build something bigger and bigger, quickly, with several people building, guarding all the doors becomes exceptionally difficult without a kind of aggressive discipline which is contrary to the "go fast" culture.
Cybersecurity in practice until now, for most companies, has been an insurance problem, not a quality problem.
Such companies are quickly discovering that insurance is a post-hoc partial correction and not a proper solution.
This situation will not improve anytime soon for most companies.
The solution does not require any new magical tools.
1. Ask them about what percentage of their own resources goes towards cybersecurity, audits etc. Would they even tell you.
2. Technical stack maturity. If the details are available, because they won't reveal any of it to you.
3. Other signals: Do they give talks on platform security, who is incharge of their cyber security.
Yes:
* you do ask about things like budget allocation, audits, and internal compliance processes.
* you do ask about the tech stack, how it is maintained, and what the patch and disclosure policies and SLOs are
No:
*you do not rely on what figureheads say publicly; none of that is binding in the way legal agreements are
And if you're a vendor, your deals desk probably has all of these answers packaged up and ready to go; or even published on a website like this https://spyglass.trustshare.com/home (no idea who that is, it's a random company's compliance portal I found while googling my employers compliance portal provider).
[edited for formatting]
Seems it's not used in production and doesn't contain customer data.
If I go on wayback a few days, I can see Sentry: https://web.archive.org/web/20261026032756/https://northflan...
Unfortunately I'm not longer using PaaS tools. Instead I use Azure for work and vps now for all my personal stuff. With AI it's easier than ever to lock a server down tight and mitigate this kind of exposure.
I'm actually pretty pissed at this now. I have a throwaway appstore app that uses northflank for the backend, now I have to go in and rotate revenuecat secrets, apple secrets, ai secrets. For an app with basically 2 users.
Can I even delete the app on apple's app store or whats the process like what a pain in the ass. I'm pretty done tbh.
Now, to be clear, abliteration was no state secret, but that blog post was pure accelerationism.
The timing of all of this is much easier to pin to the creation and proliferation of capable of open weight models. Anthropic calling this out is not the cause for it; it's just an obvious correlation.
What’s changing now is that models are getting more powerful.
And no, before the labs there was a degree of fear for everyone to hack into some one else system. With the labs changing the narrative, anyone can just blame the agents for the breach, whoever did it would only get fame and no blame