Topic

Multi-Agent Systems

Multi-agent systems are AI architectures where multiple autonomous agents interact, collaborate, or compete to solve problems or achieve goals. In enterprise AI governance, they present unique compliance and oversight challenges because decisions and outcomes emerge from agent interactions rather than single-point logic, making auditability and accountability more complex. Organizations deploying multi-agent systems must establish governance frameworks that can track agent behavior, manage inter-agent communication, ensure alignment with organizational policies, and provide transparency into how collective agent decisions impact business operations and regulatory compliance.

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