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Category — CI/CD
Why Runtime Scanning Is Too Late for Your CI/CD Supply Chain Security

Why Runtime Scanning Is Too Late for Your CI/CD Supply Chain Security

Jun 15, 2026
The structural flaw in detection-only security postures runs deeper than tooling choices. Every hour a security team spends triaging runtime alerts is an hour not spent governing what entered the pipeline in the first place. And in modern CI/CD environments, that means the handful of alerts that represent genuine software supply chain compromise arrive only after the malicious dependency has already executed its payload, exfiltrated credentials, or established persistence inside the environment. The industry built an entire market category on that backwards logic, and enterprises are now paying for it in breach costs, developer burnout, and regulatory exposure that carries personal liability for the security leaders whose names appear on the program. The shift that actually reduces risk is not better monitoring at the end of the pipeline; it is governing the point of ingestion before code ever enters your lifecycle, which is a fundamentally different problem requiring a fundamental...
AI's Hidden Security Debt

AI's Hidden Security Debt

Aug 18, 2025
AI-powered coding assistants now play a central role in modern software development. Developers use them to speed up tasks, reduce boilerplate snippets, and automate routine code generation. But with that speed comes a dangerous trade-off. The tools designed to accelerate innovation are degrading application security by embedding subtle yet serious vulnerabilities in software. Nearly  half of the code snippets generated by five AI models contained bugs that attackers could exploit, a study showed. A second study confirmed the risk, with nearly one-third of Python snippets and a quarter of JavaScript  snippets produced by GitHub Copilot having security flaws . The problem goes beyond flawed output. AI tools instill a false sense of confidence. Developers using AI assistance not only  wrote significantly less secure code than those who worked unaided, but they also believed their insecure code was safe, a clear sign of automation bias. The Dangerous Simplicity of AI-...
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