Enterprises cannot afford not to deliver accurate and trustworthy AI, yet fragmented data and inconsistent governance impede progress. According to a RAND research, more than 80% of AI projects fail to generate value, most often due to poor data quality, inadequate governance, and fragmented integration.
To fight this, Salesforce is increasing its data, governance, security, and senematics capabilities across the Salesforce Platform, resulting in a uniform foundation on which all AI agents operate businesses to transition from cautious experimentation to revolutionary action, enables businesses to transition from cautious experimentation to revolutionary action, scailing AI responsibility throughout every workflow to fuel the Agentic Enterprsie, a new paradigm of work in which humans and AI agents collaborate seamlessly across every workflow, decision, and interaction.
The Trusted AI foundation provides three fundamental capabilities to enable the Agentic Enterprise to be accurate, explainable, and secure:
Context and Accuracy – Ensuring that outputs are based on unified corporate data and knowledge.
Trust, security, and compliance – Are built-in, ensuring visibility, control, and compliance across every workflow.
Open and unified – Linking agents, data, and semantics across ecosystems to prevent lock-in and maintain consistency.
Salesforce’s focus on context, trust, and openness has led to new breakthroughs that help companies grow trustworthy agentic AI across all workflows.
Data Cloud Context Indexing: A new indexing pipeline in Data Cloud enables AI agents to comprehend unstructured content, such as contracts, diagrams, and tables, via a business-focused viewpoint. This extracts specific details from large, disjointed data, making it easier to find the right solutions faster. For example, a field engineer can submit a schematic and have the agent walk them through a troubleshooting decision tree, allowing them to find the proper solution in minutes rather than hours.
Data Cloud Clean Rooms: Now widely available, Data Cloud Clean Rooms allow businesses to securely share, collaborate, and analyze data to gain intelligent insights without moving or exposing raw data. The product enhances the capabilities of a standard clean room by utilizing zero copy connectivity, which eliminates the need to replicate sensitive datasets, lowering security and compliance risks and storage costs.
Tableau Semantics: An AI-powered semantic layer that works natively with Data Cloud to interpret raw data into business language. Tableau is introducing an out-of-the-box Customer 360 Semantic Data Model (SDM) to speed time to value by unifying cross-cloud data and metadata, simplifying modeling, enforcing standard metric governance, and providing the business context AI and BI require for accurate, reliable insights.
Tableau is collaborating to create the industry’s first open semantic interchange. We’re also working with industry leaders such as Databricks, dbt Labs, and Snowflake to provide common semantics across platforms, ensuring that analytics and AI stay consistent, explainable, and founded in agreed business standards.
MuleSoft Agent Fabric: As enterprises ramp up their AI use, they face an explosion of agents across teams, platforms, and vendors. This surge brings a new type of fragmentation agent sprawl, which results in disjointed workflows, duplicate automations, and compliance blind spots. MuleSoft Agent Fabric provides companies with a centralized platform for registering, orchestrating, and managing all AI agents, regardless of where they were built.
Embedded AI Security and Compliance: New AI-powered security capabilities will be integrated throughout the Salesforce Platform, easing security and compliance posture management. This includes new integrations with industry heavyweights like CrowdStrike and Okta, which ensure proactive security threat detection and compliance management within the agentic enterprise’s operating mesh.
Informatica Acquisition Unlocks Enterprise Metadata: The planned Informatica acquisition (due to close in Q1 FY27) will combine Informatica’s data catalog, integration, governance, quality, privacy, and Master Data Management (MDM) capabilities with the Salesforce Platform to create a unified data architecture for agentic AI. This will provide organizations with the metadata intelligence required to ensure AI agents function securely, responsibly, and at scale throughout the agentic enterprise.
Also Read: Salesforce Bring Out Agentforce for Public Sector | Briefly Explained
At Salesforce, we think that AI is the most powerful enabler of business transformation today. However, in order to deliver on its promise, it must be grounded in a deep business context to enable the key force multipliers: intelligent automation and actionable insights,” stated Rahul Auradkar, EVP & GM, Unified Data Services.
“That’s why we’re building a unified foundation that harmonizes all of a company’s structured and unstructured data to surface these insights and feed this automation, all while providing the governance and security required to operate confidently. With these advancements, we enable our customers to move faster, scale responsibly, and realize the full promise of the Agentic Enterprise.”
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