State of SBOM Adoption Across Industries 2026
How SBOM adoption differs across finance, healthcare, public sector, manufacturing, and tech in 2026, where the real operational usage is, and where it stalls.
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.
How SBOM adoption differs across finance, healthcare, public sector, manufacturing, and tech in 2026, where the real operational usage is, and where it stalls.
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.
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.sh'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.
Manual patching is a losing race against the rate of new vulnerabilities. Autonomous remediation is not a future technology — it is the only workflow that keeps pace with modern supply chains.
The Safeguard Research team ran reachability analysis across a large corpus of real codebases. This is what we learned about which CVEs actually matter.
CVE-2024-57727 is a path traversal in ConnectWise ScreenConnect enabling arbitrary file read on self-hosted instances. Chain, detection, and patching.
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