Salesforce announced this week it is expanding its data, governance, security and semantics capabilities across its platform as it continues to build trust in AI and agentic AI in particular. 

It’s no secret Salesforce bet big on AI agents with its Agentforce product, but before agents can go mainstream, there’s a level of trust that needs to be established. Indications are we’re not quite there. 

More than 80% of AI projects fail to deliver value, often because of poor data quality, weak governance and fragmented integration, according to a RAND study. A recent report by Typeface found that compliance, data quality and governance were among the top barriers to scaling AI agents in marketing organizations.

Dig deeper: Salesforce Agentforce: What you need to know

This week, Salesforce introduced ‌platform-wide capabilities to help enterprises reliably scale agentic AI across their workflows. They include:

Data Cloud Context Indexing: A new indexing pipeline in Salesforce Data Cloud designed to help AI agents interpret unstructured content — like contracts, diagrams and tables — through a business-aware lens. This surfaces precise details from vast, disconnected information, making it easier to get the correct answers faster.

Data Cloud Clean Rooms: Data Cloud Clean Rooms let companies securely share, collaborate and analyze data to unlock intelligent insights without moving or exposing raw data. They extend the power of a typical clean room by leveraging zero-copy connectivity, eliminating the need to duplicate sensitive datasets — thereby reducing security and compliance risks and cutting storage costs. Companies can also securely collaborate with partners through Salesforce’s privacy-enhanced, native integration with AWS Clean Rooms.

Tableau Semantics: Tableau Semantics is an AI-powered semantic layer, natively integrated with Salesforce Data Cloud, that translates raw data into business language. To accelerate time to value, Tableau is delivering an out-of-the-box Customer 360 Semantic Data Model (SDM) that unifies cross-cloud data and metadata, simplifying modeling, enforcing consistent metric governance and providing the business context AI and BI need for accurate, trustworthy insights. To facilitate this, Tableau is co-creating the open semantic interchange (OSI) standard. 

MuleSoft Agent Fabric: The explosion of agents across teams, platforms and vendors introduces a new form of fragmentation — agent sprawl — where disconnected workflows, redundant automations and compliance blind spots emerge. MuleSoft Agent Fabric provides a single place to register, orchestrate and govern every AI agent, regardless of where it was built. 

Embedded AI security and compliance: Salesforce announced AI-powered security capabilities that will be embedded across the Salesforce Platform, streamlining the maintenance of security and compliance posture. This includes integrations with CrowdStrike and Okta for security threat identification and compliance management.

The Informatica acquisition: Salesforce’s planned acquisition of Informatica will bring Informatica’s data catalog, integration, governance, quality, privacy and Master Data Management (MDM) capabilities to the Salesforce Platform, creating a unified data architecture for agentic AI. This will give enterprises the metadata intelligence needed to ensure AI agents operate safely, responsibly and at scale across the agentic enterprise.

The agentic world holds substantial promise for organizations across industries, but it won’t be built in a day. Salesforce announced previous trust and governance initiatives back in May 2025, and this week’s announcements are unlikely to be the last time we hear about these topics. 

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