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.
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.
A SOC 2 Type II auditor samples a control population across a reporting period. Griffin AI creates that population as a natural output. Mythos-class pure-LLM tools leave you reconstructing it.
CycloneDX v1.5 introduced formulation, machine learning BOMs, and expanded evidence. Here is what changed and how to take advantage of it.
Renovate's 2026 security presets, OSV-based vulnerability alerts, and 14-day minimum release age combine into a defensible auto-update posture. We tested it on a 240-repo org.
A clear-eyed look at Wolfi's value as a container base image distribution: glibc-based design, security defaults, build provenance, and where it does not fit.
Quantum computers threaten the cryptographic foundations of software supply chains. The time to prepare is now, not when quantum advantage arrives.
Weight-level tampering leaves cryptographic and statistical fingerprints. Here is what current research says about detecting a modified checkpoint before it reaches inference.
An anonymized story of how a high-growth payments FinTech slashed vulnerability backlog noise by 80% using Safeguard's reachability analysis.
If your agent can execute code, something it reads from the internet can execute code. Pick your sandbox before the agent picks one for you.
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