Magic Quadrant for AI Agent Management Platforms: Managing AI Agent Sprawl, Risk and Runaway Costs

• Assess the capabilities needed to govern AI agents across diverse platforms 

• Evaluate approaches for controlling agent costs, risks and operational complexity 

• Identify criteria for selecting an AI agent management platform aligned to enterprise needs

As AI agents move rapidly into production, many organizations struggle to govern growing numbers of agents across multiple platforms and environments. To scale adoption successfully, leaders must address agent sprawl, security and compliance requirements, rising operational costs, and the need to demonstrate measurable business value from agentic AI investments. 

Join Gartner analyst Andrei Razvan Sachelarescu to explore the emerging market for AI agent management platforms and the capabilities organizations need to manage AI agents at scale. Learn how leading vendors approach governance, security, observability, FinOps, and life cycle management, and discover key considerations for evaluating solutions that support your organization's AI strategy.

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