ai-security

Griffin AI vs Gemini Function Calling: Security

Gemini's function calling is strong and flexible. Griffin AI's tool layer is narrow and opinionated. For security workflows, the opinionated approach wins.

MCP Server Multi-Tenant Isolation

Practical guidance on isolating tenants on shared Model Context Protocol servers, covering identity, data, compute, and observability boundaries at production scale.

AI Model Weights: Signing, Attestation, Provenance

Model weights are binaries with the privilege of code and the review of documents. Here is what signing, attestation, and provenance should actually look like.

The LLM Supply Chain: Risks Hiding in Foundation Models

Large language models have their own supply chains: training data, fine-tuning datasets, model weights, and serving infrastructure. Each layer introduces risk.

AI-BOM Adoption: State of the Art in 2026

The AI Bill of Materials went from concept paper to procurement requirement in under two years. Here is what the current state of the art actually looks like.

Dynamic Dispatch: Griffin AI vs Mythos

Dynamic dispatch hides real exploits behind indirection. Griffin AI models the dispatch; Mythos-class tools guess. That gap changes outcomes.

LLM Jailbreak as a Supply Chain Risk in 2026

A jailbreak in a model you ship downstream is a supply chain incident, not a trivia item. Here is how to reason about it and where the defensive controls belong.

OWASP Top 10 for LLM Applications: A First Look

OWASP published its first Top 10 for LLM Applications on August 1, 2023. Here is what it covers, where it overreaches, and how to use it on real systems.

Griffin AI vs Inflection Pi for Security Assistance

Does GitHub Copilot Use Your Code? IP and Licensing Questions Answered

Does GitHub Copilot steal your code, or just learn patterns from it? The honest answer depends on which setting you're using, what plan you're on, and whether the suggestion it hands back matches code it was trained on.

Securing LLM Applications: The OWASP Top 10 for Large Language Models

OWASP released its Top 10 for LLM Applications in August 2023, providing the first standardized framework for understanding and mitigating risks in AI-powered software.

Enterprise LLM Budget Management Patterns

LLM spend forecasting is where finance teams meet AI engineering for the first time. The patterns that produce predictability are specific.