Three steps to detecting and blocking AI-generated attacks

STEP 1

Instrument running apps for inside-out visibility

Pre-production scanning stops at the deploy gate. Real exploit attempts happen after it. Attach a runtime agent to production, QA and CI/CD to see what actually executes.

DO THIS: Deploy to your top five revenue-critical or auth-handling applications first

STEP 2

Detect real exploit attempts as they execute

Signature-matching misses novel AI-generated payload variants. Runtime taint tracing follows untrusted input through the execution path and fires only when a vulnerable sink is actually reached.

DO THIS: Route Contrast alerts to SIEM with application-layer context (line of code, stack, request).

STEP 3

Block attack classes structurally, not by signature

Because protection is applied at the sink, the block is structural. Novel SQLi variants, command injection, deserialization and path traversal are stopped without a CVE, patch or rule update.

DO THIS: Switch production to block mode for confirmed exploitable classes. Leave pre-prod in monitor.