ai-vulnerability-discovery

Coverage of how autonomous AI systems and machine-driven analysis are transforming the way software flaws get found, from fuzzing and code auditing to large-scale automated scanning. As discovery costs collapse toward zero, the practical focus shifts to triage: deciding which vulnerabilities among a flood of findings actually warrant attention and remediation. Expect discussion of tooling, prioritization strategy, and the economics of security work when finding bugs is no longer the bottleneck.

ai-vulnerability-discovery, security-triage, cve-prioritization, vulnerability-management, cybersecurity-economics

The Security Treadmill: When Finding Flaws Becomes Free, the Scarce Skill Is Deciding What's Worth Fixing

Autonomous AI systems are collapsing the cost of finding software vulnerabilities toward zero, making known-flaw supply nearly infinite. The scarce, high-leverage work has shifted from discovery to deciding which of the roughly 6% of ever-exploited CVEs actually deserve a fix.