Why AI-generated code needs DAST, not just SAST
Copilot-generated code carried vulnerabilities in ~40% of cases in a 2021 NYU study. Static scanning alone cannot catch the runtime-only bug classes LLMs introduce.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Copilot-generated code carried vulnerabilities in ~40% of cases in a 2021 NYU study. Static scanning alone cannot catch the runtime-only bug classes LLMs introduce.
A USENIX Security 2025 study found 19.7% of packages recommended by 16 LLMs across 576,000 code samples don't exist — and attackers are registering them first.
OWASP's 2025 LLM Top 10 splits Excessive Agency into three root causes. Here's how tool allowlisting, output validation, and approval gates address each one.
In April 2025, Invariant Labs showed a malicious MCP tool description could exfiltrate an SSH key — with zero suspicious code for a static scanner to flag.
At DARPA's AIxCC finals in August 2025, AI systems patched 68% of vulnerabilities they found — up from 25% at semifinals. Here's how the approaches differ and why validation still matters most.
One Ray dashboard flaw let attackers hit hundreds of exposed AI servers. SBOM plus call-graph data is how you find every service that shares the exposure.
OWASP's 2025 LLM Top 10 added three new categories in one revision — here's what changed, why, and concrete mitigation patterns for each risk.
Copilot, Cursor, and Windsurf all read untrusted repo text into the same channel as trusted instructions — three 2025 CVEs show what happens next.
A single malicious PR title was enough to make three major AI coding agents leak API keys straight out of a GitHub Actions runner.
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