Einstein Trust Layer: Secure Generative AI in Salesforce

As organizations rapidly adopt generative AI, keeping customer data secure and compliant is more critical than ever. This text-only course provides a comprehensive introduction to the Einstein Trust Layer, showing you how to safely integrate large language models into your CRM workflows without compromising data privacy.\n\nThrough clear, step-by-step written explanations, you will explore how this trust framework acts as a secure gateway between your CRM and external AI models. You will learn to configure privacy controls, prevent data retention by third-party LLMs, and maintain strict compliance standards.\n\nWhat you'll learn:\n- Understand the core architecture of the Einstein Trust Layer and how it secures AI interactions\n- Configure data masking to protect sensitive customer information before it leaves your system\n- Apply zero-retention policies to ensure external LLMs do not store your business data\n- Practice writing secure prompts that align with enterprise compliance and safety standards\n- Audit and track AI-generated outputs using built-in trust telemetry and logging features\n- Detect and mitigate toxicity in AI responses to maintain brand safety\n\nWe begin with essential terminology and the foundational concepts of AI safety before moving into practical configuration scenarios. This course is designed for Salesforce administrators, business analysts, and developers who want to implement safe AI practices. No prior AI engineering experience is required.\n\nStart reading today to master secure enterprise AI deployment.