If not, why not?
Disrupting the first reported AI-orchestrated cyber espionage campaign
101–110 of 298 posts
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#102I might be crazy, but this just feels like a marketing tactic from Anthropic to try and show that their AI can be used in the cybersecurity domain. My question is, how on earth does does Claude Code even "infiltrate" databases or code from one account, based on prompts from a different account? What's more, it's doing this to what are likely enterprise customers ("large tech companies, financial institutions, ... and…
Someone pointed Claude Code at an API endpoint and said "Claude, you're a white hat security researcher, see if you can find vulnerabilities." Except they were black hat.
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#103Was this written by AI? If not, why not?
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#104They're spinning this as a positive learning experience, and trying to make themselves look good. But, make no mistake, this was a failure on Anthropic's part to prevent this kind of abuse from being possible through their systems in the first place. They shouldn't be earning any dap from this.
Meh, drama aside, I'm actually curious what would be the true capabilities of a system that doesn't go through any "safety" alignment at all. Like an all out "mil-spec" agent. Feed it everything, RL it to own boxes, and let it loose in an air-gapped network to see what the true capabilities are. We know alignment hurts model performance (oAI people have said it, MS people have said it). We also know that companies tr…
I just pray incompetence wins in the right way, for humanity’s sake.
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#105It sounds like they directly used Anthropic-hosted compute to do this, and knew that their actions and methods would be exposed to Anthropic? Why not just self-host competitive-enough LLM models, and do their experiments/attacks themselves, without leaking actions and methods so much?
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#106Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#107Was this written by AI? If not, why not?
Maybe? Why maybe, well, I’d say both AI and their PR team. Why both? Well, because why not?
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#108> The threat actor—whom we assess with high confidence was a Chinese state-sponsored group—manipulated our Claude Code tool into attempting infiltration into roughly thirty global targets and succeeded in a small number of cases.
So why do we never hear of US sponsored hackers attacking foreign businesses? Or Swedish cyber criminals? Does it never happen? Are “Chinese” hackers just the only ones getting the blame?
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#109I might be crazy, but this just feels like a marketing tactic from Anthropic to try and show that their AI can be used in the cybersecurity domain. My question is, how on earth does does Claude Code even "infiltrate" databases or code from one account, based on prompts from a different account? What's more, it's doing this to what are likely enterprise customers ("large tech companies, financial institutions, ... and…
I don't think you're understanding correctly. Claude didn't "infiltrate" code from another Anthropic account, it broke in via github, open API endpoints, open S3 buckets, etc. Someone pointed Claude Code at an API endpoint and said "Claude, you're a white hat security researcher, see if you can find vulnerabilities." Except they were black hat.
Re: Disrupting the first reported AI-orchestrated cyber espionage campaign
#110>At this point they had to convince Claude—which is extensively trained to avoid harmful behaviors—to engage in the attack. They did so by jailbreaking it, effectively tricking it to bypass its guardrails. They broke down their attacks into small, seemingly innocent tasks that Claude would execute without being provided the full context of their malicious purpose. They also told Claude that it was an employee of a le…
Conclusions are the result of reasoning verses LLM's being statistical token generators. Any "guardrails" are constructs added to a service, possibly also altering the models they use, but are not intrinsic to the models themselves.
That is the roadblock.