Bring-Your-Own-Model: Griffin AI vs Mythos
Model lock-in is the quiet liability of pure-LLM vendors. Safeguard's bring-your-own-model story gives enterprises the option Mythos-class competitors cannot match.
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.
Model lock-in is the quiet liability of pure-LLM vendors. Safeguard's bring-your-own-model story gives enterprises the option Mythos-class competitors cannot match.
Vertex AI Safety is Google's approach to enterprise AI controls. For security-specific workflows, Griffin AI adds grounding the Safety layer doesn't.
The first enforcement window under the EU AI Act has closed. The actual pattern of enforcement looks different from the one vendors and advocacy groups predicted.
A minimal patch is easier to review, safer to merge, and cheaper to roll back. Griffin AI enforces minimality; Mythos-class tools treat it as optional.
A practical look at rate-limiting patterns for Model Context Protocol servers, covering per-tool quotas, token budgets, burst control, and abuse-resistant designs.
MCP servers connect AI agents to your infrastructure. Here's how to secure them without killing the productivity gains.
AI/ML models are the new open source libraries. Here's why your supply chain security strategy needs to account for model provenance, poisoning, and compliance.
Every HTTP vulnerability begins at a route. Griffin AI models routing; Mythos-class tools guess it. That difference shapes every downstream finding.
PCI DSS 4.0 raised the evidence bar for software security, supplier management, and continuous assurance. Griffin AI meets the new requirements with persisted records. Mythos-class pure-LLM tools leave QSAs asking for artifacts.
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