AI Trust, Security, and Governance for the Agentic Era
Build the knowledge to deploy AI and autonomous agents safely — covering data security, the Agentforce Trust Layer, Agentforce guardrails, AI governance frameworks, and the latest Salesforce thinking on governing agents at enterprise scale.
Secure Your Data Foundation
Establish the data security and access-control fundamentals that any trustworthy AI or agent deployment depends on.
Control access to data using point-and-click security tools.
Discover strategies for assessing and improving the quality of your data in Salesforce.
See how a unified governance layer keeps agents from acting on ungoverned or risky data.
Understand the Agentforce Trust Layer
Learn how Salesforce's native trust architecture protects data throughout the generative AI prompt and response journey.
Learn how the Einstein Trust Layer protects your generative AI data.
Unify customer data and create personalized experiences across teams in Data 360.
Get the official reference on generative AI terminology, data masking, and audit trails.
Establish AI Governance
Learn to build a formal AI governance practice — inventorying AI usage, assessing risk, and reporting on outcomes.
Define your organization’s vision, use cases, roadmap, and governance for trustworthy AI.
Remove bias from your data and algorithms to create ethical AI systems at your company.
Discover techniques to recognize and prevent data bias when using AI technologies.
Design Trusted Agentforce Guardrails
Learn the specific guardrails and trust patterns Salesforce builds into Agentforce agents to keep autonomous behavior safe and bounded.
Learn how Agentforce uses safeguards and responsible AI principles to create ethical AI.
See the trust-by-design patterns Salesforce applies when building AI products.
Govern Agents at Enterprise Scale
Understand how a unified governance layer — spanning data, services, and integration — keeps fast-moving agents from becoming "rogue agents" as deployment scales.
Use seven questions to transform a successful launch into a scalable AI strategy.
Get the CIO's playbook for keeping agents trustworthy after launch — monitor performance, catch quality issues early, and route problems to the right person.
Monitor, Audit, and Operate Agents Responsibly
Build the operational discipline to monitor agent performance, maintain audit trails, and enforce ongoing policy compliance after go-live.
Discover tools to monitor agent performance and improve agent outcomes.
Understand how Agentforce Operations orchestrates back-office processes with humans kept in the loop, a full audit trail of every action, and a live dashboard tracking status, owners, and escalations.
Discover Agentforce tools, considerations, and strategies for testing your agents.
Learn why human-in-the-loop design, careful testing, and narrow agent scope are essential to building predictable, reliable Agentforce agents.
Build Trust Through Real-World Governance Outcomes
See how trust and governance translate into measurable business outcomes, using the latest Salesforce research on enterprise agent adoption.
Learn how AI agents are evolving through three stages and why trust and accountability are the non-negotiable foundations for scaling agentic AI safely.
Discover More
Check out other Salesforce products to see how they can help you create more personalized customer journeys and make data-driven decisions.