Salesforce has announced this week that it is expanding its data, governance, security and semantics on his platform, because it continues to build in particular confidence in AI and Agentic AI.
It is not a secret Salesforce bets big for AI agents with his agent force product, but before agents can become mainstream, there is a level of trust that must be determined. Indications are that we are not completely there.
More than 80% of the AI projects provide no value, often due to poor data quality, weak governance and fragmented integration, According to an edge study. A recent report from font showed that compliance, data quality and governance were among the best barriers for scaling AI agents in marketing organizations.
Dig deeper: Salesforce Agentforce: what you need to know
This week, Salesforce Platform-wide opportunities to help companies help reliable agent AI in their workflows. They include:
Data Cloud Context -Indexation: A new indexation feeding line in Salesforce Data Cloud that is designed to help AI agents interpret unstructured content-such as contracts, diagrams and tables-via a company-conscious lens. This is accurate details of huge, disconnected information, making it easier to get the correct answers faster.
Data Cloud Clean Rooms: Data Cloud Clean Rooms let companies share, collaborate and analyze safely to unlock intelligent insights without moving or exposing unprocessed data. They are expanding the power of a typical clean room by using zero copy connectivity, which reduces the need to duplicate sensitive data sets, eliminate the security and compliance risks and reduce storage costs. Companies can also work safely with partners through Salesforce’s Privacy-improved, native integration with AWS Clean Rooms.
Tableau Semantics: Tableau Semantics is an AI-driven semantic layer, native integrated with Salesforce Data Cloud, which translates unprocessed data into business language. To accelerate the time to value, Tableau supplies an out-of-the-box Customer 360 Semantic Data Model (SDM) that unites cross-cloud data and metadata, simplifying modeling, enforcing consistent metric governance and providing accurate, relevant context. To facilitate this, Tableau creates the Open Semantic Interchange (OSI) standard.
Mulesoft Agent Fabric: The explosion of agents in teams, platforms and suppliers introduces a new form of fragmentation – agent expansion – where disconnected workflows, superfluous automation and compliance with blind spots arise. Mulesoft Agent Fabric offers a single place to register, orchestrate and control every AI agent, regardless of where it was built.
Embedded AI protection and compliance: Salesforce announced AI-driven security options that will be embedded in the Salesforce platform, which means that the maintenance of the security and compliance is streamlined. This includes integrations with Crowdstrike and Okta for identification of the security threat and compliance management.
The acquisition of computer science: The planned acquisition of Salesforce of Informatica will bring the data catalog of computer science, integration, governance, quality, quality and master Data Management (MDM) (MDM) to the Salesforce platform, creating a uniform data architecture for Agentic AI. This gives companies the metadata intelligence that is needed to ensure that AI agents work safely, responsibly and on a scale in the agent company.
The Agentic World is a considerable promise for organizations in different industries, but this will not be built one day. Salesforce has announced earlier trust and management initiatives in May 2025, and this week’s announcements are probably not the last time we hear about these topics.
DIG DEPER: AI and Security are the focus of the latest acquisitions of Salesforce
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