Dr. StrangeBot: How I Learned to Stop Worrying & Love Diverse Security Data - Seguridad Mania.com - España y América Latina

AI coding assistants are already in your SDLC; 57% of developers use them despite organizational policies against it. But the question isn't whether AI-generated code is secure. The question is: what context are your developers and their AI agents using to make security decisions? LLMs encode general patterns from training data, but they don't know your threat model, your triage history, or your architectural constraints. The organizations winning at AI-powered security aren't those with the cleanest data pipelines; they're those who've built trust contracts between three types of context: Facts (structured vulnerability data), History (accumulated triage decisions), and Opinion (expert judgment, encoded and scaled). This webinar introduces ContextAI: a framework for empowering developers to make informed security decisions in-situ, at the speed of AI-driven development, before pipeline bottlenecks collapse your DevSecOps feedback loop.