Resources

Supply Chain Security, in plain English.

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.

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Vulnerability Analysis

CVE-2024-23897 Jenkins CLI File Read Deep Dive

CVE-2024-23897 is a Jenkins CLI arbitrary file-read flaw that leaks secrets and enables RCE chains. Root cause, exploitation, and patch guidance.

Feb 27, 20269 min read
AI Security

LLM-As-Judge Pitfalls In Security Evals

Using an LLM to score another LLM's output is expedient and dangerous. The judge has its own biases — ones that affect security evaluations specifically.

Feb 26, 20262 min read
AI Security

Griffin AI vs Claude Batch API for Scanning

Claude's Batch API gives you 50% off for async workloads. Griffin AI uses it internally. The question is whether your team should use the Batch API directly or consume it through Griffin.

Feb 26, 20262 min read
Case Studies

Automotive OEM ISO 21434 Compliance

An anonymized look at how a major automotive OEM used Safeguard.sh to operationalize ISO/SAE 21434 software supply chain requirements across vehicle platforms.

Feb 26, 20267 min read
Industry Analysis

Why Developer Experience Matters to Security Programs

Security programs that ignore developer experience fail. This is not a culture complaint — it is a throughput argument, and the math is unforgiving.

Feb 26, 20268 min read
DevSecOps

Dependency Update Triage Strategy for Eng Teams

An update PR is not a security finding. Here is a triage model that keeps reachability, risk, and engineering effort in the right conversation.

Feb 26, 20267 min read
Research

SBOM Quality Across Ecosystems: 2026 Report

The Safeguard Research team measured SBOM quality across ecosystems and generators. The gaps between formats, tools, and languages are larger than most teams assume.

Feb 26, 20267 min read
AI Security

Griffin AI vs GPT-5: Enterprise Controls

Frontier models offer impressive enterprise features. Security programs need deeper controls than chat can provide—controls that live in the engine around the model.

Feb 25, 20267 min read
AI Security

Why Engine-Plus-LLM Beats Pure-LLM: Griffin vs Mythos

The structural case for engine-plus-LLM security reasoning — and why pure-LLM products in the Mythos class hit a ceiling that no parameter count can raise.

Feb 25, 20266 min read
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