Welcome to the "Scary Edition" of our series. When you deploy an autonomous AI agent, it operates on behalf of your users or your brand. But an AI agent is only as secure as the guardrails you build around it. If your legacy Salesforce org relies on a "Modify All Data" crutch, over-permissive profiles, or wide-open sharing rules, your AI agent could accidentally expose sensitive financial data, HR records, or PII.

In Session 5 of De-Fragging the Franken-Org, we turn on the Security & Compliance Lens to ensure absolute data trust. This session is designed for architects who need to establish bulletproof data boundaries without crippling the agent's ability to be genuinely helpful. We will look at how to audit your legacy permission mess and implement cutting-edge AI guardrails.

The Core Question: Can we trust what agents can see and do?

What we’ll cover:

• The Risk of Over-Privilege: Real-world scenarios where bad sharing models leak sensitive data via AI.

• Zero-Trust Architecture in Salesforce: Redesigning permissions for the age of autonomous agents.

• Compliance & Auditing: Ensuring your AI interactions leave an unalterable, compliant audit trail.

Live Tool Deep Dive:

• Permission Analyzer: Auditing and untangling overlapping permission sets and profiles.

• Einstein Trust Layer: Configuring data privacy, toxicity masking, and zero-data retention policies.

• Data Masking: Protecting sensitive sandbox and production data from accidental exposure.

Don't let your autonomous agent go rogue. Join us live to lock down your legacy environment, clean up your permissions, and build an airtight trust framework that protects your enterprise ecosystem.