Databricks Unveils New AI Security Controls and Ecosystem Updates at Summit 2026
At the Data + AI Summit 2026, Databricks launched new identity management tools and network security features to govern enterprise AI workloads.

Key takeaways · 3
- 01
Automatic Identity Management for Entra ID is now generally available for Databricks on AWS and GCP.
- 02
Databricks expanded compliance coverage with KSA, ISMAP, and HITRUST availability.
- 03
Fivetran won the 2026 Databricks ISV Customer Impact Partner of the Year award.
Platform security updates
At the Data + AI Summit 2026, Databricks introduced new security and compliance capabilities, including Automatic Identity Management (AIM) for Entra ID, which is now generally available on AWS and GCP. [1] The company also released AIM for Okta in Public Preview, alongside new Context-Based Ingress policies designed to govern access to Genie, Databricks Apps, and dashboards. [1]
For secure connectivity, Databricks announced a new Private Network Gateway and expanded Private Link support for Lakebase. [1] Additionally, the company is expanding compliance coverage to include KSA, ISMAP, and HITRUST availability, alongside upcoming FedRAMP High support on Azure Commercial. [1]
Ecosystem and partner highlights
During the summit, Fivetran was named the 2026 Databricks ISV Customer Impact Partner of the Year. [3] The partnership has supported joint customers such as Inova Health, which reportedly compressed a four-year modernization roadmap into six months. [3] At the same event, Databricks also announced OpenSharing and Genie Agents. [2]
What it means
Databricks is prioritizing enterprise security controls and compliance certifications to support the transition of AI experimentation into production workloads. By expanding Private Link and context-based access to features like Genie and Lakebase, the platform directly addresses the governance hurdles associated with scaling AI agents and natural language data tools. Fivetran's recognition highlights the ongoing importance of automated data integration in feeding these governed AI foundations. What the sources don't address: How the pricing model for the new Private Network Gateway and context-based ingress policies will impact overall platform costs for enterprise users.
Enterprise AI adoption requires robust data governance and secure network architectures to move beyond the experimentation phase. These updates allow organizations to scale natural language querying and AI applications without compromising compliance or data security.
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Start freeHow this developed
17 June 2026
Event created from source cluster.