This datasheet addresses the growing challenge of securing autonomous AI systems and agent-to-agent communication. As AI tools interact directly with data through protocols like MCP, the Agentic Broker provides visibility, control, and risk assessment across these interactions. It monitors non-human activity, evaluates third-party integrations, and applies DLP policies to prevent data leaks. It also logs all activity for audit and governance purposes. By bringing structure and control to agentic AI environments, it helps organizations safely adopt advanced AI workflows without losing visibility or control over sensitive data.

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