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Supply Chain Security, in plain English.

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AI Security

RAG Pipeline Supply Chain Attacks: Vector DBs and More

RAG pipelines have six or seven supply chain surfaces, and most teams are only watching one. Here is how the attacks actually look in production.

Feb 3, 20267 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

Griffin AI vs Claude Haiku for Bulk Scanning

Claude Haiku is the cost-efficient model Griffin uses for high-volume scan interpretation. Here's how raw Haiku compares to Haiku inside Griffin's bulk pipeline.

Feb 2, 20266 min read
AI Security

Audit Log Completeness: Griffin AI vs Mythos

Audit logs are where enterprise AI either proves its seriousness or exposes its improvisation. The gap between Griffin AI and Mythos-class products is visible in the first day of a real audit.

Feb 1, 20267 min read
AI Security

Griffin AI vs OpenAI o1 for Security Reasoning

Deep reasoning models are transformative for hard logical problems. Security reasoning is only partially a logic problem—the rest is grounding, policy, and workflow.

Feb 1, 20267 min read
AI Security

Small-Model Distillation For Security Workflows

Distillation compresses the capability of a large model into a small one for a narrow task. For high-volume security workflows, it is often the difference between a working pipeline and an unaffordable one.

Feb 1, 20266 min read
AI Security

Training Data Opacity As A Trust Limit

You cannot audit what you cannot see. Frontier model training corpora are effectively opaque to their users, and that opacity is not incidental. It shapes what kinds of trust you can extend to the outputs.

Jan 31, 20267 min read
AI Security

Griffin AI vs Gemini Long Context for Codebases

Gemini's million-token context window is a genuinely new capability. For security analysis of large codebases, is it enough on its own?

Jan 31, 20267 min read
AI Security

Human Review Burden: Griffin AI vs Mythos

Auto-remediation only scales if human review stays cheap. Griffin AI's grounded PRs keep reviewer time low; Mythos-class PRs push the cost back to humans.

Jan 31, 20266 min read
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