Containerized AI Security - How We Automated Safety at Scale

Learn how to build a fully automated, containerized security pipeline that uses AI-powered analysis to secure community-driven code submissions at scale. This 15-minute conference talk demonstrates how to transform manual security review bottlenecks into automated trust-building systems that can process GitHub pull requests in minutes rather than days. Discover the implementation of headless AI analysis and threat detection algorithms that work in isolation to scan community submissions for malicious content. Explore the blueprint for integrating AI-powered security automation into CI/CD pipelines, including the architecture decisions and technical approaches that enabled one organization to safely manage community-driven "automation recipe" submissions. Gain insights into containerization strategies for security tools, automated threat detection methodologies, and practical approaches to scaling security reviews without compromising safety or speed.