Salesforce and Databricks Expand Partnership to Enhance AI Integration
At the Data + AI Summit 2026 in San Francisco, Salesforce announced an expanded partnership with Databricks, aimed at improving how organizations integrate enterprise data with customer relationships and workflows. This collaboration focuses on addressing the challenges enterprises face when deploying AI agents, particularly in ensuring that these agents have access to the necessary data within a secure and governed framework.
Addressing Data Disconnection Challenges
As businesses increasingly adopt AI technologies, they encounter a significant hurdle: the data required for analytics and AI often exists in silos, disconnected from the business context and security protocols necessary for effective action. This disconnection can lead to AI-generated recommendations that lack the proper permissions context, hindering their practical application.
The expanded partnership between Salesforce and Databricks aims to bridge this gap by providing a framework that connects enterprise data with essential business context. This integration enables both human employees and AI agents to make informed decisions confidently, ensuring that actions taken are aligned with organizational security and compliance standards.
Creating a Shared Foundation for Human-AI Collaboration
The effectiveness of AI agents heavily relies on the context in which they operate. They must be aware of what data they can access, the actions they are authorized to perform, and how these actions align with existing business processes. Andy Kofoid, President of Global Field Operations at Databricks, emphasized this need by stating that customers want AI agents to play a larger role in their operations. To achieve this goal, trusted data and governance controls must be accessible across all platforms.
To establish this shared foundation for collaboration between humans and AI agents, Salesforce and Databricks are focusing on three primary areas:
Governed Business Context
The partnership builds on the existing Zero Copy infrastructure between Salesforce Data 360 and Databricks Unity Catalog. New governance features aim to solve a persistent challenge faced by enterprises: when data is spread across multiple platforms, security rules and permissions often need to be recreated for each system. This redundancy can slow teams down and expose organizations to risk.
New capabilities such as Federated Authentication, identity mapping, governance interoperability, and metadata-aware access controls are designed to provide consistent security measures across both platforms. By streamlining governance processes, organizations can deploy AI-driven workflows more rapidly while maintaining robust compliance controls.
Organizations like Pacers Sports & Entertainment have already recognized the benefits of integrating enterprise data with operational context through this partnership. Chief Commercial Officer Joey Graziano noted that it allows teams to better understand customer interactions and personalize experiences effectively.
Cross-Platform Discovery and Action
Once a shared business context is established, effective discovery mechanisms become crucial. New Federated Search capabilities enable users to access enterprise data seamlessly across Salesforce and Databricks. This integration allows Agentforce agents to search Databricks while users in Databricks can query Salesforce data.
This bi-directional search capability enhances productivity by enabling users to find answers quickly. For instance, a sales representative could inquire about a strategic account’s renewal risks and receive insights combining customer data from Salesforce with operational metrics from Databricks. The agent can then recommend actionable next steps within established business processes.
MuleSoft’s Agent Scanners further enhance cross-platform interoperability by providing automatic visibility into Agent Fabric, enabling governance at scale. The collaboration also explores how Agentforce agents could be integrated through Databricks Unity AI Gateway, linking discovery directly to actionable insights while maintaining visibility and control.
Integrating Enterprise Context into Daily Workflows
As work becomes more distributed among humans and AI agents alike, it is essential that business context is readily available wherever tasks are performed. New integrations with Slack bring Databricks-powered insights directly into everyday workflows. Features such as Databricks Genie allow users to access real-time information without leaving their communication platform.
This integration facilitates a new operating model where humans collaborate alongside AI agents to boost productivity. For example, retail managers can use Slack to inquire about potential inventory shortages due to weather disruptions, receiving recommendations powered by Databricks Genie within the same channel.
Rahul Auradkar, President and GM of Data Foundations at Salesforce, pointed out that the challenge now lies not in creating more agents but in equipping them with trusted data and governance frameworks necessary for safe operations at scale.
A Growing Strategic Partnership
This expansion of collaboration reflects an ongoing commitment between Salesforce and Databricks as part of Salesforce’s broader strategy for its data ecosystem. The partnership was recently recognized at the Data & AI Summit 2026 when Salesforce received the ISV Business App Partner of the Year award from Databricks for their joint innovation efforts.
Availability
MuleSoft Agent Scanner for Databricks is now generally available along with foundational Data 360 Zero Copy capabilities. Enhancements for Data 360 are expected in H2 2026. The Slack Genie App is currently in Public Preview with general availability anticipated later this year. Additional capabilities related to agentic search will continue rolling out throughout H2 2026.
What This Means
The expanded partnership between Salesforce and Databricks signifies a critical step toward integrating enterprise data with advanced AI capabilities while maintaining stringent governance controls. As organizations increasingly rely on AI for decision-making processes, having secure access to comprehensive data will empower both human employees and AI agents alike—ultimately driving productivity improvements across various sectors.
For more information, read the original report here.
