ai-security

Vulnerability Scanning for AI Models: A New Frontier

AI models ship with dependencies, use vulnerable libraries, and introduce novel attack surfaces. Traditional scanning is not enough.

Securing Claude Code MCP Server Deployments

Claude Code MCP servers run with the privileges of the developer who invoked them. That makes deployment posture the entire security model.

Griffin AI vs xAI Grok for Security

Enterprise AI Security Rollout: The Governance Gap

Most enterprises rolled out AI-for-security tools faster than their governance processes could keep up. The resulting gap is where most of the pain from 2025 deployments lives.

Griffin AI vs Llama 3 for Security Workflows

Llama 3 is a powerful open-weight foundation model, but security workflows demand more than raw inference. Here is how Griffin AI compares.

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.

Griffin AI vs Raw Claude for Security Workflow

Griffin AI runs on Anthropic's Claude models under the hood. Here's what the engine context, eval harness, and workflow scaffolding actually buy you over calling Claude directly.

Griffin AI vs Pure GPT-5 for Security Workflows

Frontier models are remarkable reasoners, but security workflows demand more than raw intelligence. Here's how Griffin AI grounds frontier reasoning in real tenant context.

Reachability Analysis: Griffin AI vs Mythos

Reachability-grounded reasoning produces actionable findings. Ungrounded LLM reasoning produces speculation. We explain the methodology gap.

Specialised Security LLM vs Frontier Model: The Choice

Frontier models are general polymaths. Security-specific LLMs are narrow experts. Choosing between them is rarely about raw intelligence and almost always about cost, latency, and the shape of your data.

Frontier Model Non-Determinism As A Security Limit

Non-determinism is not a rough edge frontier labs will polish away. It is an architectural property of how transformer decoding works, and it places a hard ceiling on the kinds of security contracts you can sign.

Griffin AI vs Gemini Pro for Security Workflow

Gemini Pro brings capable reasoning and a massive context window to general-purpose workflows. Griffin AI brings a security engine with an LLM on top. The difference matters when the workflow is appsec.