AI Model Weight Tampering Detection Techniques
Weight-level tampering leaves cryptographic and statistical fingerprints. Here is what current research says about detecting a modified checkpoint before it reaches inference.
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.
Weight-level tampering leaves cryptographic and statistical fingerprints. Here is what current research says about detecting a modified checkpoint before it reaches inference.
A practical look at npm provenance in 2026: what statements prove, how to publish them from CI, and where they quietly fail when teams treat them as magic.
When AI writes code that ships to production, the audit trail is a compliance requirement, not a nice-to-have. Patterns for capturing it without killing velocity.
Watermarking and provenance are the two most confused terms in AI security. A practical breakdown of what each actually does, where the 2025 techniques break, and what to ship in the meantime.
Two and a half years after npm provenance launched, adoption is climbing but uneven. Here is the late-2025 picture across the top packages and frameworks.
Provenance answers where software came from and how it was built. Here is how to implement end-to-end provenance tracking from source to deployment.
Generate and validate SLSA v1.0 provenance attestations in GitHub Actions using slsa-verifier, gate releases on builder identity, and prove build integrity.
Trademarks matter in open source security because they are the signal of authentic origin. When trademark policies fail, typosquatting, impostor forks, and compromised builds follow.
A step-by-step tutorial for publishing npm packages with provenance attestations so your consumers can cryptographically verify the build source.
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