
Automated Pentesting and BAS: How AI Systems Like XBOW Outpace Human Researchers in Vulnerability Discovery
The article explores how automated penetration testing and Breach and Attack Simulation tools have evolved to provide continuous validation of security controls beyond annual manual pentests. It explains the distinction between BAS, which tests individual attack techniques against security tools using frameworks like MITRE ATT&CK, and autopentest solutions that build complete attack paths to critical assets. Russian vendor Positive Technologies released PT Dephaze 3.0 in October 2025, incorporating machine learning for controlled internal pentesting and earning the National Runet Award. Globally, AI-driven systems demonstrated superior performance, with XBOW topping HackerOne rankings by discovering over 1,000 vulnerabilities including 54 critical ones in just 90 days. Google’s Big Sleep project, combining DeepMind and Project Zero, identified and helped patch CVE-2025-6965 in SQLite before widespread exploitation. These developments underscore the need to integrate automated validation into vulnerability management processes under the emerging CTEM framework.
HabrOct 7, 2026Translated from Russian




