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 models are now first-class supply chain components. Here is how an AI-BOM captures lineage, datasets, runtimes, and evaluations in a way that survives audit.
An end-to-end view of container supply chain controls from source through registry to runtime, covering signing, attestation, admission policy, and runtime drift, with concrete checkpoints at each stage.
The CRA offers three conformity routes: Module A self-assessment, Module B+C type examination plus production conformity, and Module H quality management system audit.
A senior engineer's breakdown of the EU AI Act high-risk system obligations as they apply in 2026, with a focus on documentation, supply chain, and ongoing monitoring.
AI-authored fix PRs are only safe when there is a deliberate human review gate in front of them. Here is how to build one that is fast and trustworthy.
Most supply chain SecOps metrics measure activity instead of outcomes. Here is how to design a metrics program that survives leadership scrutiny and changes behavior.
Map SOC 2 Trust Services Criteria to concrete supply chain artifacts. Learn how SBOMs, findings, and policy logs satisfy CC controls without manual gymnastics.
AI has made the median attacker faster and the median phish flawless, while LLM-powered apps opened a new bug class entirely. What actually changed, and what still works.
Cortex XSOAR and Prisma Cloud automate cloud incident response, but SOAR reacts to runtime alerts. Here's why supply chain provenance still needs a separate layer.
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