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 security context in kubernetes actually works at the pod and container level, what kubernetes runasuser and capability drops do, and a sane default policy to start from.
To define agentic: it describes AI systems that plan and take actions toward a goal with limited human oversight. Here is what that autonomy means for security teams.
XXE lets a crafted XML document read files, reach internal services, and exhaust resources. Here is how the attack works and how to shut it down.
An AI security app uses machine learning to detect, prioritize, or remediate security issues. Here is what the category actually delivers and how to judge one.
A container image audit inspects every layer of an image - base OS packages, application dependencies, secrets, and configuration - to find what an attacker could exploit before you deploy.
An AI cybersecurity company uses machine learning to detect, prioritize, and remediate threats faster than rules alone. Here is how to evaluate one honestly.
The aws-amplify npm package is a large, capable SDK that touches auth, storage, and API calls. Here is a practical security review of what to watch for and how to use it without widening your attack surface.
Real CVEs, a supply-chain hack that hit 360,000 sites, and bundled-library blind spots: what WordPress plugin security actually requires in 2026.
A framework for comparing software supply chain security solutions across the four capabilities that matter, SBOM generation, dependency scanning, provenance verification, and CI/CD gating.
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