Shift Left, Stay Secure: AI’s Impact on the Development Lifecycle

Show Notes

How security and development teams are partnering to manage AI-generated code risk.

As AI pushes development teams to ship faster and write more code, security can no longer live at the end of the pipeline.

This session explores practical strategies for embedding security earlier and smarter into the modern development lifecycle.

• Shifting security left means catching vulnerabilities before code ever leaves the developer’s machine
• AI-generated code still requires developer ownership, approving it means owning it
• Context and guardrails make AI tools more consistent and compliance friendly

• Automated pipeline scanning turns security from a bottleneck into a built in safeguard
• CISO and CTO alignment is critical to making secure development a shared company goal