AI Agent Controls

AI agent controls are governance mechanisms that manage the behavior, autonomy, and decision-making boundaries of AI systems that can perform tasks independently or with minimal human intervention. These controls include capability restrictions, action approval workflows, and monitoring systems that ensure agents operate within defined parameters and align with organizational policies. For enterprises, effective agent controls are critical to reducing operational risks, maintaining compliance with regulations, and preventing unauthorized or harmful outcomes when deploying increasingly autonomous AI systems.

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Corporate PolicyUS2026-08-25

Equifax's AI Agent Containment Model Sets a Benchmark for Regulated Enterprises

Equifax CISO Jeremy Koppen has publicly described the company's AI agent governance architecture, including network-level zone containment for agents, real-time prompt injection stripping, and automated handling of 50% of SOC incident tickets. The disclosure offers the most operationally specific public account of enterprise AI agent controls from a major regulated data broker. Compliance teams at peer organizations should treat the described controls as an emerging practitioner baseline.

Equifax AI agent controls prompt injection SOC automation cybersecurity governance financial services agent containment