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AI Security

AI Bill of Materials (ML-BOM) Standards in 2026

A senior engineer's survey of AI-BOM and ML-BOM standards in 2026, from CycloneDX ML components to SPDX 3.0 AI profile, and what to actually ship.

Mar 18, 20267 min read
AI Security

Model Inventory Tracking: Griffin AI vs Mythos

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.

Feb 21, 20268 min read
AI Security

SLSA Provenance Consumption: Griffin AI vs Mythos

SLSA provenance is the cryptographic receipt of a build. Griffin AI verifies it, parses it, and uses it as typed evidence. Mythos-class tools describe it and forget to check the signature.

Feb 13, 20267 min read
AI Security

VEX Integration: Griffin AI vs Mythos

VEX is how you turn a vulnerability list into an actionable work queue. Griffin AI ingests VEX documents as structured statements that filter findings at policy time. Mythos-class tools read them as advisory prose and lose the filtering entirely.

Feb 5, 20267 min read
AI Security

AI-BOM Awareness: Griffin AI vs Mythos

AI-BOM is how you describe an AI system's supply chain — models, datasets, prompts, inference environments. Griffin AI ingests it as structured inventory. Mythos-class tools try to talk about AI while remaining blind to the AI systems they describe.

Jan 29, 20267 min read
AI Security

SPDX Coverage: Griffin AI vs Mythos

SPDX is the format auditors ask for, the format regulators reference, and the format most enterprise procurement teams standardize on. Griffin AI treats it as a first-class graph. Mythos-class tools treat it as a long document.

Jan 23, 20267 min read
AI Security

CycloneDX Support: Griffin AI vs Mythos

CycloneDX is not a text format to be summarized — it's a typed graph with dozens of semantically-rich fields. Griffin AI consumes it as a graph. Mythos-class tools consume it as tokens. That difference decides every downstream finding.

Jan 15, 20267 min read
AI Security

SBOM Ingestion: Griffin AI vs Mythos

A detailed comparison of how Griffin AI consumes SBOMs as structured reasoning context while Mythos-class pure-LLM tools skim them as prose — and why that architectural gap determines the quality of every downstream finding.

Jan 7, 20267 min read

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