AI Governance Checklist for 2025: control and safety via an AI gateway
Blog post from Portkey
In 2025, AI accountability is paramount, driven by regulatory frameworks like the EU AI Act and U.S. executive orders. A comprehensive AI governance checklist has been developed to oversee the lifecycle of Large Language Models (LLMs), involving roles and responsibilities, model inventories, risk evaluation, and input/output guardrails. Key governance principles include assigning the right models to appropriate use cases, implementing security and compliance guardrails, and monitoring for model drift and misuse. Tools like Portkey facilitate these processes by providing centralized routing, observability, and control over models, helping organizations maintain compliance, protect sensitive data, and ensure responsible AI practices. This governance framework supports proactive management, compliance with evolving regulations, and the integration of responsible AI training for teams to align with industry standards.
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