Shadow AI Risks: 7 Exposure Categories and the Control for Each (2026)
A breakdown of seven shadow AI exposure categories, the control that closes each one, and how to roll them out fleet-wide through MDM.
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AI Governance Strategy for Platform Engineering Teams
A guide to designing an AI governance strategy that fits an internal developer platform, from virtual keys and budgets to MCP tool governance.
How to Govern AI Coding Agents at Scale
TL;DR
* Gartner predicts 90% of enterprise software engineers will use AI code assistants by 2028, up from less than 14% in early 2024, and much of that traffic can leave developer laptops outside any policy layer.
* Governing AI coding agents at scale takes two layers: an AI gateway that
LLM Access Control for Enterprise AI in 2026
TL;DR
* Enterprise LLM access control governs which users, teams, and applications can reach which models, tools, and data across an entire AI footprint, at a scale where shared API keys stop working.
* Five building blocks carry it: federated identity, fine-grained authorization, row-level data scoping, cost governance, and
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.
What Is AI Observability? A Platform Buyer's Guide
A buyer's guide to AI observability, covering what a platform captures for AI agents and eight criteria for evaluating one.
Gateway-Level PII Redaction Before Provider Transmission
TL;DR
* Gateway-level PII redaction detects sensitive values in an LLM request and rewrites them before the request leaves your network, so no application has to sanitize its own prompts.
* Bifrost implements this through guardrails: rules written in Common Expression Language decide when to evaluate, and profiles decide how,