Controlling GenAI Output: Safety & Governance for 2025

The text discusses the challenges and solutions related to preventing generative AI (GenAI) disasters, such as data leaks and hallucinations, through the use of guardrails—specialized safety systems that monitor and control AI outputs in real-time. It explains that these guardrails differ from simple filters by functioning as comprehensive protection layers that adapt to specific risk profiles and compliance requirements. The article outlines the implementation of both pre-generation ("soft") and post-generation ("hard") controls, emphasizing the importance of a robust governance framework that treats AI incidents with the same operational discipline as traditional IT issues. It also discusses standardizing prompt management, automating policy updates, and balancing automation with human oversight to ensure reliable and compliant AI operations. Galileo's AI platform is highlighted as a solution that provides comprehensive output protection, cost-effective evaluation, automated policy enforcement, and real-time incident detection, transforming AI from a liability into a dependable business asset.

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