Why AI Vulnerability Scanners Outperform Traditional Tools
Rule-based scanners find what they've been taught to look for. Claude Mythos reasons about your application — finding logic flaws, chained attacks, and novel vulnerabilities that signature matching can never catch.
Security analysis that thinks
Reasoning Over Rules
Instead of matching payloads against signatures, Claude Mythos reasons through each endpoint's purpose, data flow, and trust boundaries — the same way a human researcher thinks.
Attack Chain Modeling
Mythos maps how individual low-severity findings chain together into high-impact attacks — something signature-based scanners fundamentally cannot do.
Adaptive Coverage
AI scanners adapt to your specific tech stack. Mythos understands Next.js server components, GraphQL resolvers, and modern API patterns — not just 2005-era PHP injection points.
AI vs Traditional Scanner
The gap isn't marginal. AI-native scanning represents a generational leap in what's detectable.