Guide
• 20 pages · August 18, 2026
Full autonomy, with full governance
An enterprise guide to agentic AI governance: how to assess security, compliance, cost, and sprawl risks, plus four tactics from production deployments.
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Guide
How enterprises control agentic AI in 2026
AI agents make decisions, take autonomous action, and interface directly with mission-critical systems of record, but old AI governance playbooks were never designed to control systems that act on their own. This guide covers the eight risks to assess before deploying agentic AI, a governance worksheet for your team, and four control tactics that work in production.
What you'll learn
- The eight risk categories to assess before deployment, from security and compliance to cost and sprawl, each with specific mitigations
- What the EU AI Act's Article 12 logging requirements mean for your audit and evidence layer
- The scope, boundary, and responsibility questions to align on with your team before building your first agent
- How VPC deployment and open-weight models reduce data exposure while bending your cost curve down
Gumloop, 2026.
93%
of enterprise agents run without a human prompt.
Gartner, 2026.
150k
the estimated number of agents per average Fortune 500 company by 2028.
Gumloop, 2026.
56%
of agents in enterprise deployments are built by GTM functions.
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