Governing AI Agents Palantir’s Perspectives on Agentic Governance

2026

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AI-generated summary

This document outlines Palantir's perspective on governing AI agents, emphasizing the critical need for robust governance infrastructure beyond lab testing to ensure safe and reliable real-world deployment.

* Explores the gap between AI agent capabilities in controlled lab settings and their performance, safety, and reliability in complex, dynamic enterprise environments.
* Details essential components of governance infrastructure, including governance controls (authorization workflows, bounded execution) and governance workflows (downstream evaluation, human-agent collaboration, lifecycle management).
* Argues that effective governance requires a shift from upstream benchmarking to sophisticated operational testing and downstream evaluation to truly understand and manage AI agent behavior.

Tags: AI Agents, Governance, Enterprise AI, Operational Performance, AI Safety

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