AI Security
HIPAA Supply Chain Controls: Griffin AI vs Mythos
HIPAA's software supply chain expectations have sharpened in 2025-2026. Evidence generation is the difference between passing an audit and rerunning it.
Feb 22, 20265 min read
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.
HIPAA's software supply chain expectations have sharpened in 2025-2026. Evidence generation is the difference between passing an audit and rerunning it.
Taint analysis only works if sources and sinks are labeled correctly. Griffin AI uses a curated catalog; Mythos-class tools infer on the fly.
MCP servers are becoming a new dependency class with their own supply chain risks. How to think about registry governance, verification, and enterprise ingestion policy.
Multi-agent systems inherit every trust problem of single-agent systems and add a few more. Here is how the threat model actually shifts.
When a scanner's built-in SBOM export stops being enough — signals you need a dedicated SBOM tool, what one actually does, and how to evaluate.
If you sell software to the US government, SBOM requirements are now non-negotiable. Here's a practical playbook for compliance.
Why multi-architecture container images break assumptions baked into signing, SBOM, and attestation tooling, and how to build a multi-arch pipeline that stays verifiable.
You cannot secure what you cannot enumerate. Griffin AI maintains a typed inventory of every model, version, and deployment across a tenant. Mythos-class tools approximate the inventory in prose.
Cursor Tab is excellent at in-editor autocomplete. For security review, the workflow is different enough that the right answer is to use both.
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