AI

AI is changing how software is built, and how security risk enters the SDLC. This category covers practical application security topics shaped by AI-assisted development, from insecure code patterns and dependency risk to agentic workflows and automated remediation. You’ll find research-driven posts, clear explainers, and real examples that help engineering teams understand what’s new, what’s actually risky, and what to do next. We focus on actionable guidance: how to validate AI-generated changes, reduce supply chain exposure, prevent secrets leaks, and prioritize fixes without slowing delivery.