How do you reconstruct what an AI agent did from its logs?
Rebuild an AI agent's actions from logs by joining identity, tool calls, approvals and downstream records into one timeline. Steps and gaps to expect.
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.
Rebuild an AI agent's actions from logs by joining identity, tool calls, approvals and downstream records into one timeline. Steps and gaps to expect.
A decision guide for container scan findings: when to rebuild on a fresh base, change your own layer, swap the base image or record an exception.
Services that rarely change still run old base images. A scheduled no code rebuild, a smoke test and a clear owner keep them current without feature work.
A new monorepo has none of the old repos' branch rules. Rebuild them: required reviews, code owner approval, unique check names, and a CODEOWNERS owner.
If real customer records landed in a git fixture, contain it, rewrite history, clean every clone and fork, rotate secrets and note it. A step by step plan.
A five minute triage for a vendor SBOM: check the format, who made it, when, what it describes, and whether the dependency data is complete, in that order.
Before you trust a scanner, read how its own maintainers handle vulnerability reports. Here is what a good SECURITY.md contains and what gaps to flag.
Report both: total open findings for completeness and the reachable subset for priority. How to define reachable, label it honestly, and avoid hiding risk.
Report both, labelled. Total counts show inventory exposure, reachable counts show code paths that can run. Learn how to present them and check the data.
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