Agent Management

A standalone Dataiku product that inventories AI agents across platforms like AWS, Databricks, Google, Microsoft, Salesforce, and Snowflake, and tiers them by risk.

Dataiku · Evaluation, observability, and MLOps tooling · tool

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Overview

Dataiku announced Agent Management on September 24, 2026 at its Dataiku Succeed conference, a standalone product that finds every AI agent an enterprise is running regardless of which platform built it, measures business and technical performance, and flags the highest-risk agents. It discovers agents across AWS, Databricks, Google, Microsoft, Salesforce, Snowflake, and other platforms, tiers them by risk, tracks certification status for high-risk agents, runs scheduled testing, keeps risk documentation, and maintains an audit trail for compliance teams. General availability is planned for October 2026.

This is a sourced directory entry. Features and capabilities are reported in the linked sources; this entry does not document independent Aymorphic testing.

Key features

  • Cross-platform agent discovery across AWS, Databricks, Google, Microsoft, Salesforce, Snowflake, and more
  • Business and technical performance measurement per agent
  • Risk tiering with certification tracking for high-risk agents
  • Scheduled testing, risk documentation, and audit trails for compliance

Use cases

  • Building a complete inventory of AI agents running across an enterprise
  • Flagging and certifying high-risk agents before incidents occur
  • Compliance audit trails for agent governance
  • Tracking agent performance across multiple vendor platforms

Pricing

Priced per instance annually, with monitoring metered per agent; exact figures not published.

Pricing reflects the source record and may change. Confirm current terms with the provider.

Dates and sources

Released
24 Sept 2026
Record updated
29 Sept 2026
Record last checked
29 Sept 2026

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