The age-old complaint in security engineering is that big ideas die in the backlog. Lengthy discovery, design, and coding cycles smother urgency”especially when threats are evolving faster than releases. Enter AI-first development, where language models collapse friction at every step of the SDLC and let small teams translate concept into running code in hours, not quarters. This talk tells the inside story of how we built a working Al Assisted Alert Agent & an Insider Threat & Fraud Detection module on top of Sumo Logic in a couple afternoons”then generalized the method into a repeatable playbook any security team can copy. Subject covered: – Rethink Development Cycles – AI-assisted competitive analysis, ROI modeling, architecture drafting, and test generation”each shaved from weeks to minutes. – Vibe Coding in practice “ how prompt-to-prototype workflows boost individual throughput 30“40 % and democratize coding to non-developers Business Insider. – Model Context Protocol (MCP) “ an open standard that plugs LLMs into live telemetry and knowledge bases, turning context wiring from weeks of API work into minutes of config Home. – Multi-model evaluation on AWS Bedrock “ side-by-side scoring that lets you A/B test foundation models, RAG pipelines, and guardrails before a single line hits main Amazon Web Services, Inc.. Attendees leave with a concrete checklist and open-source prompt templates covering ideation, design, implementation, and validation. Whether you’re a CISO looking to close control gaps, a product lead racing a roadmap, or a hands-on builder curious about the hype, this session shows how to turn AI from a coding sidekick into an end-to-end accelerator for cyber innovation”without sacrificing rigor or security. Cut the backlog. Ship the idea. And maybe, vibe-code your next killer feature before lunch.