Overview
Manage Risk with Dataiku Agent Management
Understand and manage risk exposure across your agentic landscape
Manage Risk with Dataiku Agent Management
Discover, Monitor, and Control Agents

Product video
For enterprises whose teams are building AI agents across many platforms faster than anyone can account for them, Dataiku Agent Management provides one place to discover, monitor, and control every agent the company runs:
- Discover what's running, with a complete inventory of agents wherever they were built.
- Monitor each agent's health, usage, quality, and cost as it works.
- Control the risk each one carries, with certification status, recurring tests, alerts the moment an agent needs attention, and, on supported platforms, the ability to stop an agent.
Unlike oversight built into a single vendor's platform that favors its own agents while being less capable everywhere else, Agent Management treats agents the same across every platform. And it comes from the AI platform company analysts already rank a Leader in governance.
Highlights
- Discover: wherever the agent was built. Agents live in Copilot Studio, Agentforce, Bedrock, Vertex, Databricks, Snowflake, and in custom and open-source frameworks reached through OpenTelemetry. The population only grows. Agent Management discovers them as one population and organizes them into scopes that match the business, from one product, at one price, whichever platform an agent came from.
- Monitor: the agent is the unit of analysis. Not the server, not the API call, but the agent: what it's built from, who uses it, what it costs, and how it performs against its purpose. Infrastructure monitoring can't see any of that. That's the difference between watching machines and watching agents.
- Control: the risk, on the record. Certification level, named risks, test history, alerts, and the ability to stop an agent where the platform supports it. Agent Management observes, measures, and records. It doesn't sit in an agent's traffic path, and it creates the evidence for meaningful decision-making.
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