AI Penetration Testing

AI penetration testing leverages large language models and autonomous agents to simulate real-world attacks against web applications, APIs, and infrastructure. Unlike traditional automated scanners that rely on signature matching, AI pentest agents reason about application logic, chain vulnerabilities together, and adapt their approach based on discovered attack surface — much like a human pentester would.

APVISO deploys four collaborating AI agents (recon, scanner, lead, and reporter) that work together inside an isolated container to systematically test your applications. The recon agent maps the attack surface, the scanner probes for vulnerabilities, the lead coordinates strategy, and the reporter documents findings with reproduction steps.