Gartner Identifies Six Steps to Manage AI Agent Sprawl

Why It Matters

Uncontrolled AI agent proliferation threatens enterprise security, compliance and operational efficiency, making structured governance essential for sustainable AI adoption.

Key Takeaways

• May host >150,000 AI agents by 2028, up from <15 in 2025
• Centralized inventory classifies sanctioned vs shadow agents for risk control
• Identity and lifecycle policies retire redundant agents, cutting complexity
• Continuous monitoring flags policy breaches and anomalous agent behavior promptly
• Employee training builds responsible AI culture, reducing misinformation risk

Pulse Analysis

The rapid diffusion of generative AI has turned autonomous agents into a new class of enterprise software. Analysts estimate that by 2028 a typical global corporation could be running hundreds of thousands of bots, chat assistants, and workflow orchestrators. This scale creates a hidden attack surface: each agent inherits the permissions of its host system, can ingest sensitive data, and often operates beyond the visibility of traditional IT controls. As organizations lean on AI to accelerate decision‑making, the cost of unmanaged sprawl—misinformation, data leakage, and compliance breaches—can quickly outweigh productivity gains.

Gartner’s six‑step playbook addresses the problem at its roots. A centralized inventory acts as a single source of truth, allowing security teams to tag agents by risk tier and enforce consistent policies. Defining identity and lifecycle models ensures that every bot has a documented owner, scoped permissions, and a retirement schedule, preventing redundant copies from lingering in the environment. Coupled with robust information governance—where data access, retention, and archiving rules are codified—companies can limit oversharing and protect intellectual property. Continuous monitoring, powered by anomaly detection, surfaces rogue behavior before it escalates, while a culture of responsible AI use reinforces these technical safeguards through training and community sharing.

For CIOs, the message is clear: AI agent sprawl is not a futuristic concern but an imminent operational challenge. Investing early in governance platforms, automated inventory tools, and cross‑functional AI stewardship committees pays dividends in risk reduction and regulatory compliance. As AI agents become embedded in finance, HR, and supply‑chain functions, the organizations that blend disciplined oversight with employee empowerment will capture the strategic upside of AI while avoiding the hidden costs of chaos.