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AI Security

Model Substitution Risk In Enterprise Deployments

The model you think you're calling might not be the model that returns. Model substitution is a quiet supply chain risk that deserves explicit controls.

Mar 4, 20262 min read
AI Security

RAG Poisoning In The Wild: Trend Watch

Retrieval-augmented generation was the 2024 success story. 2026 is when RAG poisoning moved from research to production incidents.

Mar 3, 20262 min read
AI Security

GenAI Coding Agent Privilege Escalation

Autonomous coding agents can escalate privilege in subtle ways that traditional threat models miss. A breakdown of the common escalation paths and how to constrain them.

Feb 28, 20267 min read
AI Security

Enterprise AI Data Residency Requirements, 2026

Data residency for AI workloads has moved from nice-to-have to contractually required. The shape of the requirement is specific and worth knowing before procurement.

Feb 27, 20262 min read
AI Security

Injection Path Detection: Griffin AI vs Mythos

Injection vulnerabilities are not really about the sink. They are about the path from untrusted input to the sink. The path is where Griffin AI and Mythos-class tools diverge.

Feb 27, 20265 min read
AI Security

Fine-Tuning Poisoning Detection for Supply Chains

Fine-tuning inherits every problem of the base model and adds dataset provenance as a new one. Here is how detection actually works in practice.

Feb 27, 20267 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 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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