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.
Code quality scanning and security scanning overlap more than most teams realize. Here is what static analysis of code quality actually finds and how to run it without alert fatigue.
Some vulnerabilities cannot be fixed in any reasonable timeframe. Here is a structured framework for accepting risk responsibly with reachability and AI evidence.
ACR's trusted images and notation signing combine into a deploy-time policy you can actually enforce. Here is how to roll it out without breaking AKS workloads.
The difference between an engine-plus-LLM bug hunter and a pure-LLM one is not a tuning detail. It is a structural divide that determines whether the findings are usable.
Open source maintainers are now a primary target for state and criminal actors. We trace the 2026 social engineering, infrastructure, and credential patterns.
An admitted workload is not a static one. Runtime drift detection turns the SBOM into a living contract and surfaces supply chain changes before they become incidents.
State governments are tightening software procurement rules through 2026. Here is what is changing and how vendors should respond to win contracts.
The openpyxl package on PyPI is safe for most workloads, but XML parsing and spreadsheet formula injection deserve attention. Here is what to watch for.
An in-depth 2026 buyer review of the Aqua Security platform: runtime protection, image scanning, Kubernetes posture, pricing, and where Aqua fits and where it does not.
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