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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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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

SEvenLLM Design And Coverage

SEvenLLM set out to measure how well LLMs handle Security Event analysis, the unglamorous day-to-day work of SOCs and IR teams. A design review of what the benchmark covers, how it was built, and where the coverage maps or does not map to real operations.

Feb 2, 20266 min read
AI Security

SecBench Methodology Reviewed

SecBench positioned itself as a comprehensive cybersecurity knowledge and reasoning benchmark for LLMs. A methodology review of its construction, scoring, and the gaps that separate the advertised coverage from what the benchmark actually exercises.

Jan 25, 20267 min read
AI Security

SWE-Bench With Security Extensions: Field Review

SWE-bench became the default benchmark for measuring AI coding agents, but the security extensions that were bolted on afterwards deserve their own scrutiny. A field review of what they measure, where they break, and whether you should trust the numbers.

Jan 17, 20266 min read
AI Security

CyberSecEval Reviewed: What It Measures

A working engineer's review of CyberSecEval, the Meta-originated benchmark that has quietly become the default sniff test for AI-for-security claims. What it actually measures, what it misses, and how to read its scores without fooling yourself.

Jan 9, 20266 min read
Risk Management

Software Vendor Risk Scoring Methodology

A practical framework for scoring and ranking software vendor risk based on supply chain security posture, vulnerability history, and development practices.

Dec 18, 20227 min read

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