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AI Security

Benchmark Reproducibility: Griffin AI vs Mythos

A benchmark you can't reproduce is marketing. A benchmark you can rerun on your own infrastructure is evidence. The reproducibility gap is wide.

Mar 16, 20266 min read
AI Security

Prompt Injection Defences: Griffin AI vs Mythos

Prompt injection is the defining AI security problem of this generation. The defences are structural, not cosmetic — and the architectural choices show.

Mar 16, 20264 min read
AI Security

Griffin AI vs Windsurf Cascade for Security Review

Windsurf's Cascade agent is among the more capable in-editor agents. For security review specifically, it's a complement to Griffin AI, not a replacement.

Mar 16, 20262 min read
AI Security

Proof-Of-Concept Payloads From Discovered Paths

A taint path is not an exploit. Here is how a zero-day pipeline turns a reachable flow into a defensible proof-of-concept payload without inventing a vulnerability.

Mar 16, 20267 min read
AI Security

Ethical Hacking Kya Hai? A Beginner's Guide to Security Testing

Ethical hacking means testing systems with permission to find flaws before criminals do. Here is what it actually involves, the phases, the skills, and where AI fits in.

Mar 16, 20265 min read
AI Security

Enterprise AI Metric Design For Executive Reporting

AI-for-security metrics that show up on board slides are different from the ones engineers use day-to-day. Designing both sets properly is the work.

Mar 15, 20261 min read
AI Security

Griffin AI vs Self-Hosted Llama: Real Costs

Self-hosting Llama looks cheap on paper. The real costs — GPUs, operations, engineering — make the comparison less obvious than the list price suggests.

Mar 15, 20263 min read
AI Security

Pricing Predictability: Griffin AI vs Mythos

A 40% cost surprise in year two is not a pricing issue — it is an architecture issue. Griffin AI and Mythos-class tools diverge on predictability in structural ways.

Mar 15, 20264 min read
AI Security

MCP Client-Side Security Considerations

The MCP client surface is often overlooked. We examine trust boundaries, schema handling, credential storage, and safe defaults for the agent side of the protocol.

Mar 15, 20267 min read
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