Gartner Identifies Six Steps to Manage AI Agent Sprawl

LONDON, U.K., April 28: Gartner, Inc., a business and technology insights company, has identified six steps to help organizations reduce the risks of AI agent sprawl.

Gartner predicts that by 2028, an average global Fortune 500 enterprise will have over 150,000 agents in use, up from less than 15 in 2025, generating significant agent sprawl, IT complexity and management challenges.

“As CIOs and IT leaders see an explosion of AI agent sacross their organizations, many are contending with an ungoverned sprawl of agents that expose their organizations to a range of risks, including misinformation, oversharing and data loss,” said Max Goss, Sr. Director Analyst at Gartner.

“Many organizations resort to blocking or restricting the use of AI agents, but this is not a long-term solution. If employees are unable to work in the sanctioned tools, they will likely go around the organization’s controls and start using shadow AI which presents far greater risks. Organizations need to find a balance where they can govern agents and manage sprawl, but also safely empower employees to innovate with these tools.”

Gartner identified six steps to help CIOs and IT leaders establish governance and guardrails to reduce the risks of agent sprawl.

  • Establish agent governance and policies: Set clear rules for when and how agents are built, who can create and share them, and what connectors are permitted.
  • Build centralized agent inventory: Organizations can use AI trust, risk, and security management (AI TRiSM) tools to help discover and categorize agents across applications, both from sanctioned tools, and from shadow AI solutions. Once organizations have an agent inventory, they can start to build adaptive controls to enforce the right policies based on the level of risk the agent presents.
  • Define agent identity, permissions and life cycle model: Manage the agent identity, permission model and access controls, review, and retire redundant agents to prevent uncontrolled sprawl.
  • Develop AI information governance: Govern what information the AI tool or agent has access to and ensure that there is a process in place to keep the data current, manage its permissions to prevent oversharing, and archive the data when it is obsolete.
  • Monitor and remediate agent behavior: Establish ongoing visibility into agent usage, ensure policy compliance, detect anomalous behavior, and correct agents that exceed their intended scope or risk tolerance.
  • Foster a culture of responsible AI usage: Support the workforce with training programs and a community of practice to drive adoption and amplify best practices on agent management across the organization.

Gartner clients can read more in How to Mature Generative and Agentic AI Governance for Enterprise Applications and The Human Compass: Secure and Govern an AI Native Workplace.

Gartner is the World Authority on AI

Gartner is the indispensable partner to C-Level executives and technology providers as they implement AI strategies to achieve their mission-critical priorities. The independence and objectivity of Gartner insights provide clients with the confidence to make informed decisions and unlock the full potential of AI. Clients across the C-Level are using Gartner’s proprietary AskGartnerAI tool to determine how to leverage AI in their business. With more than 2,500 business and technology experts, 6,000 written insights, as well as more than 4,000 AI use cases and case studies, Gartner is the world authority on AI.