Modern application security programmes still rely heavily on reactive scanning, manual triage, and late-stage validation. While “shift left” has become widely adopted in principle, most tooling still operates as pattern-matching engines rather than contextual security testers. This talk explores how agentic AI changes that model. Instead of signature-driven scanning, autonomous agents can reason about application behaviour, model intent, adapt to responses, and pursue exploit paths in a goal-driven manner. This enables continuous offensive validation earlier in the SDLC, reducing feedback loops and surfacing real, reproducible risk rather than theoretical findings.

Attendees will learn:
•    Why traditional DAST and SAST approaches struggle to truly shift left
•    What “agentic” testing means in practical AppSec terms
•    How autonomous reasoning differs from payload spraying and rule matching
•    Where AI excels in early lifecycle testing
•    Where human testers remain essential
•    How to safely operationalise AI-driven testing in CI/CD pipelines
•    Governance considerations when deploying autonomous offensive systems

The session will include real-world testing examples, detection comparisons, and a practical framework for integrating agentic AI into modern AppSec workflows without increasing noise or operational risk.