AI Security
In-depth guides and analysis on ai security from the Safeguard engineering team.
678 articles
Griffin AI vs Claude Batch API for Scanning
Claude's Batch API gives you 50% off for async workloads. Griffin AI uses it internally. The question is whether your team should use the Batch API directly or consume it through Griffin.
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.
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.
Task-Routed LLM Architectures For Security
One model for every task wastes budget on trivial work. Task-routed architectures match model capability to task requirements — the right lever for security at scale.
Windsurf vs Sourcegraph Cody: Security Comparison
A side-by-side security comparison of Windsurf and Sourcegraph Cody: data handling, agent scope, deployment models, and enterprise controls.
AI-Managed Security Services: What You're Actually Buying
AI managed security is sold as autonomous defense, but the honest version of the pitch is faster triage and drafted fixes with a human still signing off — worth knowing before you buy the marketing version.
Retrieval Context Poisoning At Scale
Retrieval context poisoning scales differently than direct prompt injection. The attacker's leverage grows with the RAG ingest surface.
Griffin AI vs Gemini Multimodal: Security
Gemini's multimodal capabilities are genuinely useful for some security workflows. For most security workflows, the modality is code and text, not images.
Federal Compliance Readiness: Griffin AI vs Mythos
Federal compliance is a long investment, not a marketing claim. Safeguard's FedRAMP HIGH and IL7 readiness is the difference between selling into government and sitting on the outside.
The Eval Culture Shift in AI Security
Two years ago, AI vendors shipped without evals. In 2026, the posture has shifted. Customers expect benchmarks. Vendors without them lose deals.
Dependency Upgrade Picks: Griffin AI vs Mythos
The version a remediation tool picks matters more than the fact that it picked one. Griffin AI grounds its choice in the project; Mythos-class tools do not.
HIPAA Supply Chain Controls: Griffin AI vs Mythos
HIPAA's software supply chain expectations have sharpened in 2025-2026. Evidence generation is the difference between passing an audit and rerunning it.