ORGANISATIONS are drowning in vulnerability data, facing millions of vulnerabilities across countless assets. The piece argues that vulnerability management must move away from vendor-generated scores and toward real exploit data that reflects each organisation’s environment. It cites a real‑world collapse after September’s Patch Tuesday, when a system could no longer cope with spikes in vulnerability instances, despite fewer than 1,000 CVEs being involved across tens of millions of vulnerable assets.
The takeaway is that volume is not a badge of security, but a signal that prioritisation must be grounded in actual exposure and context.
Experts emphasise prioritising what adversaries are actively targeting rather than chasing tall CVSS scores. The Cybersecurity and Infrastructure Security Agency’s Known Exploited Vulnerabilities list (KEV) remains a useful prioritisation tool, alongside vendor and independent KEV catalogs, but the article notes backlog and remediation pressures are mounting and data availability remains essential.
AI is increasing detection volume, yet there is little evidence that it translates into higher risk; many flaws are mitigated by existing controls. The practical path forward involves more data‑driven, risk‑based vulnerability programmes that tailor tooling, KEV sources, and exploit predictions to each organisation, recognising that universal scores don’t fit all sectors or sizes. In short, security teams should ask not “how many flaws?” but “how do these flaws apply to us and what controls can mitigate them?”