Deploy agents you can trust with centralized AI governance

Organizations are facing challenges in deploying enterprise agentic systems due to a lack of trust in autonomous agents, primarily because existing governance frameworks, designed for humans, are inadequate for managing these agents. The Redpanda Agentic Data Plane offers a solution by introducing a central governance layer specifically built for agents, which facilitates trust, explainability, context, and control. This governance infrastructure allows organizations to safely scale agents by providing verified identities, auditable actions, scoped access, and the ability to deactivate agents if necessary. Redpanda's approach is characterized by its neutrality, open architecture, and built-in governance, avoiding vendor lock-in and ensuring secure operations across any model, API, or database. The Tech Talk by Redpanda CTO Tyler Akidau elaborates on these issues and solutions, emphasizing the importance of an infrastructure that enforces governance without agent interference.

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