vulnerability-management

Coverage of how teams find, prioritize, and remediate software flaws as AI drives discovery costs toward zero. Expect practical takes on triage under an effectively infinite supply of known vulnerabilities, where the hard problem is deciding which CVEs actually warrant a fix given that only a small fraction are ever exploited. Topics span exploit prediction, risk-based prioritization, patch workflows, and building programs that scale beyond raw detection.

Figure picking one golden ticket from an endless treadmill of glowing tickets, AI vulnerability discovery economics

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.