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Trust Layer

Salesforce's AI trust and safety framework that ensures agents operate within compliance boundaries, prevent misuse, and maintain data security.

What it is

We align our governance practices with Salesforce's trust layer. This includes audit logging, data isolation, permission enforcement, and monitoring for anomalies. We design implementations so agents respect data boundaries and maintain compliance.

Why it matters

Enterprise AI requires enterprise trust infrastructure. The trust layer addresses: How do we prevent agents from accessing data they shouldn't? How do we ensure compliance with regulations? How do we audit agent decisions? For regulated industries (finance, healthcare), trust infrastructure is non-negotiable.

How it connects

The Trust Layer sits underneath every Agentforce agent and Einstein feature — it enforces the same Salesforce permissions and sharing rules your team already manages, so AI behavior stays within the boundaries your org has defined.

Good to know

The Trust Layer is only as strong as your existing data governance setup. If your profiles, permission sets, or sharing rules are messy, agents will inherit those gaps — so a permissions audit before go-live is worth the effort.

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