What Are AI Guardrails? Ensuring Trust and Safety in AI
An explanation of what AI guardrails are, the main types, how they work, and how to implement them consistently at the gateway.
AI Governance
AI Governance Framework for CISOs: Mapping Controls to Security Frameworks
A guide for CISOs mapping eight AI controls onto SOC 2, ISO 27001, NIST AI RMF, NIST CSF 2.0 and the EU AI Act.
AI Governance with Virtual Keys for LLM and MCP Traffic
TL;DR
* AI governance with virtual keys routes every LLM and MCP request through gateway-issued credentials that carry their own model access, budgets, rate limits, and tool permissions.
* A Bifrost virtual key with no provider configuration blocks all providers, and a key with no MCP configuration exposes no tools
Best AI Risk Management Tools: 2026 Recommendations
A guide to the six categories of AI risk management tooling in 2026 and a checklist for evaluating any candidate.
Best AI Governance Tools and Platforms in 2026: Policy, Runtime, and Observability Layers Compared
A guide to the AI governance tools landscape segmented into policy, runtime and observability layers, and what each layer enforces.
How to Govern AI Desktop Apps Like Claude Desktop
TL;DR
* AI desktop apps like Claude Desktop send prompts straight to model providers, so a gateway alone cannot govern them unless their traffic is routed through it.
* Bifrost, the AI gateway, is the control plane for virtual keys, budgets, guardrails, and audit logs; Bifrost Edge enforces those same policies
How to Govern AI Agents in Financial Services
TL;DR: Governing AI agents in financial services means controlling three things on every request: the tool surface the agent can reach, the identity behind the call, and the spend. Existing FINRA, model risk, and EU AI Act obligations already apply.What satisfies an examiner is enforcement on the request