Governing AI Agents: Safe and Secure Workflows

As AI agents become more autonomous, ensuring they handle sensitive data safely and act predictably is critical for modern organizations. Without proper guardrails, intelligent systems can leak data, hallucinate, or execute unintended actions. This text-only course teaches you how to establish robust governance frameworks for AI agents. You will learn how to define clear boundaries, implement data privacy controls, and monitor agent behavior to ensure secure, compliant, and accurate operations. What you'll learn: 1. Understand the core principles of AI agent governance, security risks, and compliance standards. 2. Implement guardrails and prompt-injection mitigations to control agent behavior. 3. Configure safe retrieval-augmented generation (RAG) workflows with secure data access. 4. Design audit trails and logging mechanisms to track autonomous decisions and actions. 5. Manage data privacy and consent within multi-agent environments. The course begins with foundational governance concepts and risk frameworks before exploring practical strategies for structuring secure workflows, managing data access, and auditing agent activities. Designed for beginners, software developers, and product managers looking to secure AI workflows, this course requires no prior experience with AI governance. Start reading today to build trust and security into your autonomous AI systems.