AI Vulnerability Chaining – Why Your Security Stack Cannot Detect What Comes Next

AI models can now autonomously chain multiple low-severity vulnerabilities into critical exploits, as demonstrated by Anthropic's Claude Mythos Preview combining four medium-severity Firefox bugs into a complete sandbox escape. Traditional security tools (SAST, DAST, SCA, vulnerability scanners) evaluate bugs in isolation and cannot detect compositional risk. CVSS scoring has a fundamental design flaw for this threat: it scores vulnerabilities atomically, so three medium-severity bugs (CVSS 4.0–5.3) that chain into full system compromise never trigger urgent response. The post explains the anatomy of a real vulnerability chain (information leak → write primitive → control flow hijacking → post-exploitation), details why each tool category misses chains, and recommends shifting from vulnerability management to attack path management: correlating findings across tools, deploying AI-powered attack surface analysis, and updating CVSS-based SLAs to account for compositional risk.