Webinar: AI Security Design and AI Code Security for End-to-End SDLC Protection
AI is changing how software gets built. Systems are designed faster, code is generated on demand, and development cycles keep shrinking.
But security design and code reviews haven’t kept pace.
Most teams still rely on manual threat modeling, delayed reviews, and fragmented code analysis. That creates gaps across both architecture and implementation. Not because teams lack skill, but because the process wasn’t built for AI-driven development.
In this session, Abhay Bhargav breaks down what it takes to secure both system design and generated code in AI-assisted environments without slowing teams down.
You will walk away with a practical view of:
How AI changes risk at both the architecture and code level
Where traditional security design and code review approaches fall short
How to identify risks early using design artifacts and generated code outputs
How to combine AI-driven analysis with human validation without adding noise
How to maintain visibility and control across fast-moving AI-powered development
If your teams are building or accelerating delivery with AI, your approach to security needs to evolve across both design and code. This session gives you a clear and practical way to do that while staying aligned with how your teams actually work.