The Future of Access - Managing Entitlements for AI Agents

As the deployment of AI agents accelerates, companies are establishing Model Context Protocol (MCP) servers and agentic workflows but are neglecting critical entitlement management, which governs the resources agents can access and use. While traditional identity and access systems focus on authentication and authorization, they fall short in addressing the needs of AI agents that operate at machine scale, risking runaway costs and resource exhaustion. Entitlement management systems need to evolve to handle high-throughput operations, offer context-aware metering, allow dynamic limit allocations, and implement time-based entitlements. These changes would enable businesses to manage resource consumption effectively, prevent unauthorized access, and provide transparency and accountability in agent operations. AI agents are becoming an integral part of business operations, and companies that address entitlement management now will gain a competitive edge by enabling safe and scalable AI deployment, thus avoiding unexpected costs and resource misallocation.

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