Most people on lemmy seem to condemn use of LLMs in any way for anything, I wonder what those folks opinion of this stance is - should companies use the tools or not?
Finding holes in software has employed “fuzzing”, where you send completely random payloads, as a research tactic for quite a while (and it has found exploits). LLMs just seem like “educated” fuzzing, I don’t see why anyone would complain about updating your suite with them.
Cybersecurity is actually one of the few fields that can benefit from AI. There are companies like Horizon3 who are using it alongside their other threat models to do continuous pen testing.
Gonna take a guess here that what is used in cybersecurity is not LLMs but one of the more useful machine learning applications. Just a nitpick cause today “ai” and “LLM” are sadly synonymous.
No, LLMs can definitely be useful for cyber too. It’s the whole reason the US government banned Claude Fable for export.
An LLM can not just try existing exploits like a script kiddy, but with iteration it can try variations and if you know what runs on the server, inspect the source for potential exploits.
They can also look at your setup and say what issues they see (reverse proxy config, etc).
Doesn’t replace an expert, but can be useful for a first pass before you get the highly paid people involved.
Well the problem is that for example curl got flooded with generated security reports where only 5% had some true security potential. So your llm will basically flood you with false positives
If 5% of the reports are genuine security vulnerabilities that they wouldn’t have found otherwise, that’s looking like a big win to me, not sure how you see it differently.
Most people on lemmy seem to condemn use of LLMs in any way for anything, I wonder what those folks opinion of this stance is - should companies use the tools or not?
Finding holes in software has employed “fuzzing”, where you send completely random payloads, as a research tactic for quite a while (and it has found exploits). LLMs just seem like “educated” fuzzing, I don’t see why anyone would complain about updating your suite with them.
Cybersecurity is actually one of the few fields that can benefit from AI. There are companies like Horizon3 who are using it alongside their other threat models to do continuous pen testing.
Yeah imo the one thing ai is legitimately useful for is finding answers to difficult problems that can be trivially verified as correct.
In this case hallucinations actually help…
Gonna take a guess here that what is used in cybersecurity is not LLMs but one of the more useful machine learning applications. Just a nitpick cause today “ai” and “LLM” are sadly synonymous.
No, LLMs can definitely be useful for cyber too. It’s the whole reason the US government banned Claude Fable for export.
An LLM can not just try existing exploits like a script kiddy, but with iteration it can try variations and if you know what runs on the server, inspect the source for potential exploits.
They can also look at your setup and say what issues they see (reverse proxy config, etc).
Doesn’t replace an expert, but can be useful for a first pass before you get the highly paid people involved.
You know what, fair enough. I don’t know enough about that particular one.
Well the problem is that for example curl got flooded with generated security reports where only 5% had some true security potential. So your llm will basically flood you with false positives
If 5% of the reports are genuine security vulnerabilities that they wouldn’t have found otherwise, that’s looking like a big win to me, not sure how you see it differently.
The problem is identifying which 5%. Nobody wants to filter that much AI slop.
If you’re working for a company’s cybersec, that’s your job. And a much preferable one to waiting for an attacker to do it for you.