What is AI Model Supply Chain Security
Model weights are executable artifacts, not data. Here's how AI model supply chain attacks work, from pickle exploits to weight tampering, and how to stop them.
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.
Model weights are executable artifacts, not data. Here's how AI model supply chain attacks work, from pickle exploits to weight tampering, and how to stop them.
Retrieval-augmented generation was the 2024 success story. 2026 is when RAG poisoning moved from research to production incidents.
A vulnerable transitive dependency may require upgrading an ancestor. Griffin AI computes the cascade; Mythos-class tools often stop at the first level.
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AI coding assistants now write nearly half of some codebases—and research shows 45% of that code ships with exploitable flaws. Here's what security teams need to know.
Vibe coding lets AI write entire apps from a prompt with little human review — here's what it is, real incidents it's caused, and how to detect the risk.
EU AI Act enforcement began in 2026. Vendors sold as "AI security tools" are now high-risk systems with documentation obligations. The shape of the documentation matters.
A vulnerability in version 1.2.0 may not affect your 1.3.5 install if the fix reshaped the call signature. Version-aware resolution is where deterministic engines beat pure-LLM heuristics.
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