Topic

AI vulnerability detection

The use of language models and AI agents to find, classify and triage security flaws in source code and running systems, including the false-positive problem that determines whether such tools are usable.

Current clusters

security1 publisher

Safe code fooled all 12 models AWS tested in its Deception Benchmark

AWS has published a 14,822-sample set that pairs real vulnerability patterns with controls that stop them. With direct prompting the 12 models it scored flagged between 41% and 99% of safe samples as exploitable.

Publishers:helpnetsecurity.com

Reality

Evidence58
Adoption18
Hype gap+15
Incentives65
Confidence57