Speed and security aren't at odds — they're interdependent. And AI has shifted how the two interact. The traditional SDLC model doesn't fit an environment where agents continuously generate, reason, and act.

Lighthouse sessions explored how development workflows must evolve for agentic AI. Think fewer static approvals and more dynamic, contextual feedback. Think real-time remediation, AI-literate security champions, and devs who don't just build, but secure, their own AI assistants.

A standout moment came from a live demo of Cursor and Snyk. Without writing a line of code, Snyk's Senior Director of Developer Relations — Randall Degges — walked through a real-world workflow that scanned, tested, fixed, and shipped code — all while Snyk's MCP server validated vulnerabilities, flagged risky patterns, and pushed safe updates through CI/CD pipelines.

The impact? Security fixes that would've taken hours were reduced to minutes, without compromising quality or control.