Guide

Three steps to collapse your AppSec backlog with full runtime context

Cut the queue by an order of magnitude without losing exposure

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The three steps

STEP 1

See what is actually exploitable in production

Instrument running apps to build the Contrast Graph: a live map of routes, logic and back-end connections that reveals which attack paths are real.

DO THIS: Turn on Contrast on your highest-traffic apps. Compare declared dependencies to loaded ones.

STEP 2

Collapse the backlog by re-sorting on exploitability

Most of the backlog is not exercised in production. Apply the exploitability-based prioritization matrix to set SLAs.

DO THIS: Re-sort the open-vulnerability backlog using the Contrast Graph and dynamic scoring.

STEP 3

Defend the remainder, continuously

AI-assisted attackers can probe the backlog around the clock for cents per attempt. Structural in-process blocking at the sink stops exploit attempts while fixes ship and re-validates every fix.

DO THIS: Enable block mode in production. Re-validate after fixes.

The numbers that matter

  • 100K+ Typical enterprise backlog
  • $8.80 Attacker cost per AI-generated exploit
  • 62% Of libraries in apps never used at runtime

Questions to ask before you buy or renew

  • Can you re-sort my existing backlog on exploitability without running a new scan?
  • How is exploitability measured: manifest, static call graph, or observed at runtime?
  • Can you protect an exploitable flaw structurally while we schedule the fix, without a patch or signature?
  • When a fix ships, does the same tool re-validate that the exploitable path is actually closed?

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