Model supply chain: five pickle and provenance mistakes teams make
Loading a pickle model file can run code, and published weights have weak provenance. Learn five common mistakes and the safer habits that replace 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.
Loading a pickle model file can run code, and published weights have weak provenance. Learn five common mistakes and the safer habits that replace them.
A model card should state intended use, limits, evaluation, data sources and a security contact. These are the mistakes teams make when they publish one.
A model card explains intended use, data and evaluation. It does not prove where a model came from. Use it as a checklist, then add integrity checks.
A hands-on checklist for downloaded model weights: prefer safetensors, never unpickle untrusted files, pin revisions, verify signatures, record provenance.
MITRE ATLAS is a public knowledge base of adversary tactics against AI systems. See how it is organized and which techniques to map your defenses to first.
Teams treat ATLAS as a checklist, map everything once, ignore detection and skip owners. Seven common mistakes and how to fix each one in your AI program.
Use MITRE ATLAS as a checklist, not a poster. Map your AI system to tactics, pick ten techniques that apply, then give each a control and a log source.
MCP gives an AI agent tools, so permissions and trust set the blast radius. Use tool allowlists, human approval, scoped tokens and wary local servers.
A practical checklist for MCP servers and clients: token audience, per-tool permissions, confirmations, local server consent and SSRF. From the spec.
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