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.
Indirect prompt injection arrives through your retrieval corpus, not your chat box. We cover the detection strategies that survive when attackers write your RAG content.
Manual vulnerability remediation costs more than most organizations realize. Breaking down the real costs, time savings, and risk reduction that automation delivers.
Kubernetes operators run with broad cluster access. This checklist covers the controls that matter most in 2025, from RBAC scoping to image provenance.
Watermarking and provenance are the two most confused terms in AI security. A practical breakdown of what each actually does, where the 2025 techniques break, and what to ship in the meantime.
Safeguard CLI v5 brings a rewritten scanning engine, plugin architecture, and native CI/CD integration. Here is what is new and how to upgrade.
Healthcare, finance, energy, and defense face unique supply chain security requirements. Here is how regulated industries should approach SBOM compliance and vulnerability management.
Fine-tuning corpora are supply chain artifacts. We cover the provenance signals, attestations, and drift controls enterprises need before pushing weights to prod.
Two and a half years after npm provenance launched, adoption is climbing but uneven. Here is the late-2025 picture across the top packages and frameworks.
LLMs can now generate SBOMs from source code and documentation. We tested five AI SBOM generators against traditional tools to measure accuracy, completeness, and reliability.
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