More Checks, Less Noise: Layered Security for AI-Assisted Development

More security checks should mean more confidence, not more alerts to ignore. As AI accelerates code production, how do we add independent verification without turning development into an obstacle course? This session explores two dimensions of application security: using complementary analysis methods and placing checks at useful points throughout the software development lifecycle. We’ll examine where deterministic analysis provides repeatable checks, where probabilistic, AI-powered review can add context-sensitive reasoning, and why simply stacking tools can create more noise than assurance.

We’ll start with a vendor-neutral framework for choosing checks, prioritizing findings, and keeping review actionable. Then, a live demo will bring three complementary approaches together: static application security testing (SAST), software composition analysis (SCA), and AI-powered analysis of logic-level vulnerabilities. You’ll leave with a practical way to evaluate layered verification: what each check contributes, where it belongs, and how to turn its findings into manageable work rather than another queue of alerts.