Artificial intelligence security scanning applies models to security analysis tasks such as reviewing source code, dependencies, configurations, logs and infrastructure. The system can identify patterns, explain suspected weaknesses and help prioritize investigation.
AI findings still need validation because a model can miss a vulnerability or flag benign behavior. Enterprise use should include access controls, evidence, reproducible checks and a process for qualified people to review consequential results.
