The blind spots of single-model AI security tooling
OpenAI's API went down three separate times in 2024 alone — if your SAST pipeline hard-depends on one model provider, its outages and blind spots become yours.
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.
OpenAI's API went down three separate times in 2024 alone — if your SAST pipeline hard-depends on one model provider, its outages and blind spots become yours.
A 2021 NYU study found 40% of Copilot-generated code contained exploitable bugs — and that's before counting leaked secrets or hallucinated packages.
A single malicious PR title was enough to make three major AI coding agents leak API keys straight out of a GitHub Actions runner.
Copilot, Cursor, and Windsurf all read untrusted repo text into the same channel as trusted instructions — three 2025 CVEs show what happens next.
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.
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.
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.
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.
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.
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