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.
ALE equals the rate of occurrence times the single loss expectancy. A worked example, how to compare a control against it, and where the method breaks.
Android Verified Boot makes each stage check the next, from a hardware root of trust to system partitions, with rollback protection. A plain explanation.
When an MCP server or its dependency gets a CVE, find where it runs, check exposure, update or disable, rotate credentials and confirm. A short playbook.
Log each export with actor, dataset and row count, then alert on size, speed and first time use. A baseline method, starter rules and tuning tips.
A checklist for Airflow Git Dag bundles: tracking refs, versioning, credentials in connections not kwargs, config exposure, and who can push to the branch.
CISA says flawless writing is not a reliable sign of safety because AI can produce it. The signs that still work, and a three step response for families.
Run an AI security tool proof of concept in four weeks: fix scope, write pass criteria first, test on your own systems, and decide against a written bar.
An allowlist for AI coding tools should cover assistants, models, editor extensions, MCP servers and agent features. Here is how to build and maintain one.
Ask where code goes, who processes it, how long it stays, whether it trains models and how it is deleted, then get each answer in the contract.
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