aiqbench analysis
The article addresses how AI-driven discovery tools are outpacing traditional remediation workflows, creating a bottleneck in vulnerability management that requires new metrics like absorption rate to monitor effectively. By analyzing the disparity between machine-speed finding generation and human-dependent fix deployment, the piece offers a critical operational framework for maintaining security posture amidst accelerating AI capabilities.
How Absorption Rate Reveals Vulnerability Management Health
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AI is accelerating vulnerability discovery, but it is not equally accelerating every part of vulnerability management. Findings and vendor fixes can now arrive at machine speed. Testing, deployment, and verification still depend on the infrastructure of a slower era. So, are you resolving vulnerabilities at least as fast as validated findings enter the system? You can answer this question with one key metric: absorption rate. Absorption rate measures remediation throughput against valid...
AI is accelerating vulnerability discovery, but it is not equally accelerating every part of vulnerability management. Findings and vendor fixes can now arrive at machine speed. Testing, deployment, and verification still depend on the infrastructure of a slower era. So, are you resolving vulnerabilities at least as fast as validated findings enter the system? You can answer this question with one key metric: absorption rate. Absorption rate measures remediation throughput against validated inflow. Above 1.0, a backlog shrinks; below 1.0, it grows. However, the number only works when teams define “created” and “resolved” carefully and report different streams separately. Why Not Use Vulnerability…
Excerpt shown under the publisher's RSS terms · 103 words · full text and figures are on the publisher's site
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