Most teams say zero-trust,” but translating it into Salesforce—especially with AI assistants and agents in the loop—is where real security risk lies.
Not all authentication architectures are created equal on Salesforce, and many organizations are unknowingly implementing vulnerable patterns that expose their data to attack. With the introduction of AI agents and assistants into production Salesforce environments, it’s critical to understand how to operationalize zero-trust principles—not as a compliance checklist, but as an enforceable control layer embedded in the platform itself.
In our Salesforce Security Office Hours, we’ll provide technical analysis of the Trust Cycle framework (Identity → Data → Context → Continuous Verification), showing how to map these principles to native Salesforce controls like Permission Set Groups, Connected App policies, high-assurance sessions, OWD/sharing rules, Shield Platform Encryption, Data Mask, Transaction Security, and Event Monitoring.
Our guest speaker will demonstrate how to design identity as the control plane, enforce data guardrails by default, and keep AI interactions safe by minimizing context exposure, requiring human approvals for high-impact actions, and logging agent decisions for audibility—all without slowing delivery or requiring third-party tools. Join us as we explore secure-by-design architecture patterns, including how zero-trust on Salesforce differs from traditional network security, why safe AI is a data boundary discipline rather than a model discipline, and how continuous verification transforms trust from an aspirational value into a measurable control layer.
Register for this online event and get your questions about Salesforce security answered live by host Matt Meyers, CTA and guest speaker, Srinivas Sandiri, Technology Leader & Salesforce Security Architect, specializing in Secure Enterprise Architecture and AI-Driven Customer Experience.