Dataiku announced the launch of Agent Management, a standalone product that finds every AI agent an enterprise is running, regardless of which platform built it, measures the business and technical performance, and flags agents that pose the greatest risk.
“Ask a bank how many servers it runs, and you get an answer to the decimal. Ask how many AI agents it's running, and you get a shrug or a guess,” said Florian Douetteau, co-founder and CEO of Dataiku. “Nobody set out to build it this way. Teams built agents faster than anyone could count them. Agent Management tells you what's actually out there, and what it's actually worth.”
Agent Management connects to the platforms that enterprise teams already use to run agents, including AWS Bedrock, Databricks Agents, Google Vertex, Microsoft Copilot Studio and Azure Foundry, Salesforce Agentforce, Snowflake Cortex, Dataiku itself, with OpenTelemetry support for custom environments, and scans them into a single inventory. It automatically identifies each agent's structure, including the tools and models it relies on, giving supervisors full transparency into how an agent actually works, not just that it exists. For the highest-risk agents, the ones handling customers, sensitive data, or live transactions, it keeps a standing record of certification status, named risks, and tests that rerun on a schedule, so the evidence trail already exists when a manager, auditor, or regulator asks for it.
Agent Management is deliberately agnostic. It sits above the stack, which lets it answer questions no single platform can — which agents are unmonitored, where risk is concentrated, and which ones earn their cost. Teams ask those questions in plain language and get an answer covering the whole portfolio.
Agent Management will be generally available in October 2026.
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