AI agent security must move beyond human-in-the-loop, experts say | TechTarget
Organizations are deploying AI agents at unprecedented scale. Gartner found that while the average Fortune 500 enterprise used fewer than 15 agents in 2025, that number will balloon to more than 150,000 by 2028.
Given recent incidents of AI agents escaping their testing environments, executives and board members are rightfully demanding accountability and security for the AI agents deployed in their organizations. Human-in-the-loop is a common default response, but bottlenecks, latency, scalability challenges, poor feedback loops, and human decision-making issues and fatigue are common arguments against it.
"If a person's reviewing hundreds of decisions after the fact, or if they're approving actions they can't independently validate, or they don't have the expertise to know what they're looking at, is that oversight or is that just some sort of accountability theater?" asked Jess Burn, an analyst at Forrester Research, during a panel session at Black Hat USA 2026.
"Human-in-the-loop...
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