When AI Finds Everything, How Should Your AppSec Metrics Change?
When findings become abundant, finding count becomes a weak signal.
AI models that excel at finding vulnerabilities accelerate both offense and defense: attackers can find more exploitable targets faster, while security teams are overwhelmed by alerts that obscure which issues actually pose meaningful risk.
Application security programs now need to operate within this reality, but most are focused on metrics like the number of critical findings or percentage of code scanned.
This whitepaper highlights how and why AppSec programs need to shift focus. It also offers a set of metrics teams can use when rethinking their AppSec programs for a world where AI models power attackers and security tools.
Download this whitepaper to learn:
How AI changes vulnerability discovery for attackers and defenders
Why traditional AppSec metrics are becoming less meaningful
Which metrics better reflect exploitable risk and remediation progress
How to evaluate AppSec effectiveness in an AI-driven threat landscape
See how modern AppSec metrics help security teams cut through alert volume, prioritize exploitable risk, and measure meaningful security improvement.
XBOW-WHITEPAPER-When-AI-Finds-Everything-How-Should-Your-AppSec-Metrics-Change.pdf
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