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
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
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.
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.
Self-hosting Llama looks cheap on paper. The real costs — GPUs, operations, engineering — make the comparison less obvious than the list price suggests.
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.
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.
AI coding assistants promise productivity but expand the data leakage surface in specific, mappable ways. The paths, the mitigations, and what enterprise policy actually looks like.
Synthetic eval benchmarks are controllable. Real-world data is messy. The gap between performance on each is usually large, and vendors prefer one over the other for a reason.
Claude's Computer Use lets an agent drive a GUI. For security, this is powerful and dangerous in equal measure. The architecture around it matters.
Crypto misuse is not about broken algorithms. It is about misused parameters, missing checks, and the gap between "it compiles" and "it is secure."
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