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.
Anthropic Claude Code security rests on permission gating, sandboxed execution, and human approval for risky actions — the same fundamentals any AI coding agent needs before it's allowed to run commands or edit code unattended.
Container image solutions span how you build, store, scan, and sign images. Choosing them well is what turns a container pipeline into a secure supply chain rather than a liability.
Agent runaway is no longer a theoretical risk — it is a line item on quarterly variance reports. The 2026 trend in agentic AI is less about model capability and more about who pays when an agent loops.
A repeatable onboarding flow for adding MCP servers to an enterprise registry without becoming the team that says no to everything.
Prompt traces and offline evals are standard hygiene for ML teams, but almost nobody treats them as supply chain telemetry. They should be. Here's how traces and evals plug into SBOM and reachability as a fourth security signal.
MCP servers run with your credentials and your filesystem unless you say otherwise. Containerizing them with read-only mounts, dropped capabilities, and egress controls turns an open-ended trust grant into a bounded one.
AI-authored fix PRs are only safe when there is a deliberate human review gate in front of them. Here is how to build one that is fast and trustworthy.
AI has made the median attacker faster and the median phish flawless, while LLM-powered apps opened a new bug class entirely. What actually changed, and what still works.
Prisma Cloud's AI-driven detection watches runtime behavior, but AI in cybersecurity still misses supply chain attacks like XZ Utils. Provenance matters more.
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