As the use of AI agents rises, organizations face a widening gap between adoption and governance. New insights from Info-Tech Research Group indicate that governing agentic AI is fundamentally different from previous governance models. Agents can autonomously access systems, trigger workflows, and make decisions faster than the organization can detect, leading to growing security, compliance, and reputational risks. The firm's blueprint, Govern Enterprise AI Agents While Preserving Innovation, provides a structured approach to managing agent identity, access, autonomy limits, and ongoing oversight without slowing the innovation that agentic AI is meant to deliver.
AI Agents Must Be Governed as Persistent Digital Actors, Advises Info-Tech Research Group
As the use of AI agents rises, organizations face a widening gap between adoption and governance. New insights from Info-Tech Research Group indicate that governing agentic AI is fundamentally different from previous governance models.…
PR Newswire
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Aug 28, 2026 at 8:23 PM UTC · Updated há poucos segundos · 4 min de leitura

ARLINGTON, Va., Aug. 28, 2026 /PRNewswire/ -- AI agents are emerging as a distinct class of digital actor, operating autonomously across enterprise systems with a speed and access that outpace traditional oversight. New research from Info-Tech Research Group, Govern Enterprise AI Agents While Preserving Innovation, examines why conventional approval-based governance cannot keep pace with agentic AI and emphasizes that agents lack conscience and cannot be morally incentivized. The firm presents a step-by-step framework to help organizations limit agents' autonomy and access while preserving space for innovation.
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