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.
Artificial Intelligence and Cybersecurity: A Double-Edged Sword Artificial intelligence and cybersecurity are now inseparably linked. As AI cybersecurity tools become more advanced, they are transforming how organizations detect threats, automate responses, and stay ahead of adversaries. At the same time, this rapid evolution introduces new
