AI Scanner

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.

What AI Unlocks

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.

Side by Side

AI vs Traditional Scanner

The gap isn't marginal. AI-native scanning represents a generational leap in what's detectable.

Capability
Traditional
Mythos AI
Finds known CVE patterns
Context-aware analysis
Business logic flaw detection
Chained attack path modeling
Adaptive to new frameworks
Low false positive rate
Understands application intent
Explains vulnerability in plain English
Generates custom remediation code
Continuously improves detection

AI scanner FAQ