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 Snyk's AI-BOM keeps model and dataset inventories current through continuous refresh, and why that differs mechanically from a point-in-time static SBOM export.
A dependency cooldown policy delays new package versions for a set window so the ecosystem can catch malicious releases before they reach your build pipeline.
SPDX 3.0 adds a formal AI profile for documenting ML models and datasets. Here's what changed, how it compares to CycloneDX, and why it matters now.
A concrete look at Sonatype SBOM Manager — its origins, pricing model, VEX support, and common adoption gaps — for teams evaluating an SBOM manager tool.
Shadow dependencies risk management is now core to SBOM strategy. See how unmanaged, unauthorized open source packages cause breaches Sonatype-style scans miss.
SLSA verifies how software was built, not just what is inside it. Here is what the four build levels mean and how it differs from SBOM-only tooling.
Not all software comes with source code. Binary analysis techniques can extract component information from compiled artifacts, firmware, and commercial software to produce SBOMs where traditional tools cannot.
Most SBOM quality discussions stop at completeness. Real quality requires measuring accuracy, freshness, depth, and actionability. Here is a practical framework.
An SBOM tells you what's in your software, not whether it's safe. Here's why inventory alone can't stop supply chain attacks like XZ Utils or SolarWinds.
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