New Paradigm for Training Secure Software Engineers
🔒 As AI-assisted coding reshapes software delivery, security training must move from line-by-line vulnerability spotting to cultivating system-level judgment. Automated tools will increasingly catch common issues, but developers must learn threat modeling, identify unsafe assumptions in AI-generated code, and understand which automated gates require human review. Effective programs are bite-sized, hands-on, and embedded in toolchains, using contextual guardrails and micro-learning to teach in the flow of work.
