---
title: "AI Governance"
description: "62 posts about AI Governance, summarised, each linking to the original."
---

# AI Governance
> 62 posts about AI Governance, summarised, each linking to the original.

## Articles

### [Agent Bricks: The governed enterprise agent platform](https://yomu.fyi/post/agent-bricks-the-governed-enterprise-agent-platform.md)
- Company: [Databricks](https://yomu.fyi/company/databricks.md)
- Author: Kasey Uhlenhuth
- Published: Apr 14, 2026

Agent Bricks is presented as Databricks’ enterprise platform for building, deploying, and governing agents that operate on business data under real identities, permissions, and operational constraints. The platform combines multi-model and framework support, execution, routing, fallback, cost optimization, and unified governance through Unity Catalog and AI Gateway, including on-behalf-of token passing and observability across data, models, MCPs, and APIs. Its context layer uses metadata such as schemas, business definitions, lineage, permissions, and data-quality signals, while Genie Spaces, Document Intelligence, Knowledge Assistant, and Agent Mode address structured and unstructured business information. The announcement includes general availability for Document Intelligence, Custom Agents on Apps, and Supervisor Agent, plus AI Gateway guardrails, managed OAuth MCP Connectors, web search, and MLflow’s CLEARS evaluation framework; the post reports 70% higher accuracy than standard RAG and a 30% improvement in multi-step workflows.


### [Grab AI Gateway: Connecting Grabbers to multiple GenAI providers](https://yomu.fyi/post/grab-ai-gateway-connecting-grabbers-to-multiple-genai-providers.md)
- Company: [Grab](https://yomu.fyi/company/grab.md)
- Author: Bjorn Jee
- Published: Feb 19, 2025

Grab AI Gateway is a central access layer connecting Grabbers’ applications to multiple GenAI providers, including OpenAI, Azure, AWS Bedrock, and Google VertexAI. Built as a set of reverse proxies, it centralizes provider authentication, authorization, rate limiting, auditing, and capacity management while presenting a unified OpenAI-style API; users can switch models by changing the model parameter. Exploration keys support short-lived staging experiments, while reviewed use cases can use longer-term service keys, and the gateway exposes embedding, image, audio, fine-tuning, search, and in-house open source models. Shared capacity, dynamic routing, monitoring, cost attribution, and usage records support governance and efficiency, although batch traffic can interfere with latency-sensitive services and provider-specific SDK edge cases require integration testing. More than 3,000 Grabbers have requested exploration keys, and the gateway powers applications including ride-safety audio analysis, content moderation, SQL generation, incident automation, and Slack support.


[Newer posts](https://yomu.fyi/topic/ai-governance/page/3.md)