PyPI Malicious Package Trends Q1 2026
Q1 2026 PyPI malicious package activity shows a clear shift toward AI and ML tooling targets. We break down the data, the tradecraft, and the implications.
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.
Q1 2026 PyPI malicious package activity shows a clear shift toward AI and ML tooling targets. We break down the data, the tradecraft, and the implications.
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Secure code review finds exploitable flaws in source code before they ship. Here's what it actually checks, how it differs from SAST, and when it should happen.
SLSA Level 3 gives you verifiable build provenance that satisfies CISA M-22-18 and EO 14028. Level 4 adds hermetic builds most teams will never need.
Chainguard ships minimal, signed Python images. Safeguard verifies and monitors whichever base image you run. Here's how the two approaches compare.
A senior engineer's breakdown of indirect prompt injection in RAG pipelines, how real attacks land through retrieved content, and what actually reduces exposure.
Code review and static analysis catch different bugs at different gates. Here's how they differ, where each fails, and how to combine them.
Chainguard's minimal Node.js images cut attack surface, but base-image choice is only one link in the chain. Here's how Safeguard compares on patching, debugging, and provenance.
An SBOM is a machine-readable inventory of every software component and dependency. Learn what it contains, why it matters, and how Safeguard uses it.
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