How AI Pentesting Works - Snapsec Suite

Unlike static vulnerability scanners that match fixed regex signatures, Snapsec AI Pentesting behaves like a human penetration tester: it forms hypotheses, investigates application logic, and chains multiple minor flaws into high-impact exploits.

The Reasoning Loop

Key Cognitive Capabilities

Context-Aware Authentication: Understands multi-role systems (e.g., test as User A to see if User B’s records can be accessed via BOLA/IDOR).
Stateful Multi-Step Workflows: Completes checkout wizards, shopping carts, and multi-factor setup flows to reach deep business logic.
Exploit Chaining: Uses an SSRF to reach internal cloud metadata, extracts temporary IAM credentials, and accesses private S3 buckets.