I've been thinking about this a lot lately. There's a lot of talk about AI transforming cybersecurity — automated scanners, AI-assisted threat detection, even tools that help find vulnerabilities faster during security assessments.
From what I've seen, AI seems genuinely helpful for things like sifting through large amounts of data quickly or spotting unusual patterns. But when it comes to more nuanced decisions — like understanding the real-world impact of a flaw in a specific environment — it still seems to need a lot of human input to be reliable.
I'm curious what others here think. Has anyone worked with AI tools in a security context, particularly around embedded or industrial systems? Do you think AI is currently more useful to those trying to defend systems or those trying to attack them? Would be great to hear some real experiences rather than just vendor claims.
Comments