As artificial intelligence (AI) agents become more ubiquitous, developers face a growing challenge: ensuring these agents behave as intended in diverse environments. Microsoft has introduced the Agent Control Specification (ACS), an open-source standard designed to give developers greater control over AI agent behavior.

This specification enables teams to define policies that dictate what actions are permissible for an AI agent, when human approval is required, and how logs should be maintained for later scrutiny. These rules are enforced at multiple checkpoints in the agent’s workflow, ensuring compliance with predefined guardrails.

The move comes as developers grapple with ad hoc methods of managing AI behavior, often leading to inconsistent controls that are difficult to audit across various frameworks and systems. ACS aims to streamline this process by integrating control mechanisms into a common governance layer. Developers can use ACS to check if an agent is adhering to these rules before receiving input, calling tools, processing results, or delivering final responses.

The specification’s flexibility allows for the insertion of classifiers to categorize information and predict outcomes, as well as the addition of logic to evaluate tool calls, input accuracy, output usage, and user responses. This modular approach ensures that policies can be bundled with AI agents, allowing them to follow these rules seamlessly across different frameworks and environments.