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.
The top AI cybersecurity companies of 2026 span three distinct plays — AI-assisted detection, AI-native SOC automation, and AI-augmented AppSec — and the distinction matters when you're evaluating vendors.
A product security assessment looks at more than code, it evaluates the whole shipped product: architecture, dependencies, deployment configuration, and the data it touches.
Checkmarx and SonarQube get compared constantly, but they're not really solving the same problem — one is a dedicated security SAST platform, the other is a code-quality tool with a security add-on.
CodeBuild and CodePipeline still carry the biggest AWS supply chain blast radius per dollar. Here is how to harden them in 2026 without rewriting to a different CI.
A working production setup for Cosign image signing across CI, registries, and Kubernetes admission, including the parts that break at scale and how to recover.
How attackers exploit Maven Central and the Gradle Plugin Portal — dependency confusion, malicious artifacts, and plugin takeovers — and how to defend Java builds.
Network security automation pays off fastest on the repetitive, high-volume tasks — not on the judgment calls teams are tempted to automate first.
A practical look at npm provenance in 2026: what statements prove, how to publish them from CI, and where they quietly fail when teams treat them as magic.
The Safeguard Research team analyzed first-quarter 2026 malicious package telemetry across npm, PyPI, RubyGems, and crates.io. Here is what the data shows.
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