OpenSSF Model Signing v1.0: Sigstore for ML
OpenSSF launched Model Signing v1.0 in April 2025 with Sigstore integration. NVIDIA NGC adopted it the same month. We explain what it signs, how to verify, and where the gaps are.
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.
OpenSSF launched Model Signing v1.0 in April 2025 with Sigstore integration. NVIDIA NGC adopted it the same month. We explain what it signs, how to verify, and where the gaps are.
Jailbreaks against frontier models keep getting more sophisticated. The defense architectures that have proven durable, and the ones that get bypassed in weeks.
Jailbreak has two meanings today: removing restrictions on a device, and tricking an AI model into ignoring its safety rules. This guide covers both.
If you use an LLM anywhere in your security program — triage, remediation, detection — you need an eval suite with the same rigor as your test suite. Here is a concrete harness: datasets, thresholds, CI gates, and drift detection.
An AI factory is the industrialized pipeline that turns data and compute into deployed models at scale. Treating it like a factory means securing every stage, not just the model.
To mitigate supply chain attacks, you secure everything you did not write: dependencies, build systems, and the pipeline that ships your code. Here is how.
AI in network security earns its keep in anomaly detection and alert triage today, not in autonomous response — here's the honest split between what's proven and what's still marketing.
When people search for container security Gartner coverage, they usually mean the CNAPP Market Guide. Here is what Gartner's framing says about securing containers.
To jailbreak AI means to bypass a model's safety guardrails with crafted prompts. Here is how the technique works and, more usefully, how to defend against it.
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