AI Agent Security: Managing Risks in Business Workflows

AI agents are rapidly transforming business operations, but they also introduce unique security, privacy, and operational vulnerabilities to your workflows. Understanding how to systematically identify and mitigate these risks is essential for protecting your organization's digital assets. This text-only course guides you from foundational security concepts to practical risk management strategies, enabling you to analyze agentic systems, identify potential threat vectors, and implement robust safeguards. What you'll learn: - Understand core AI agent architectures and their unique risk profiles in business workflows - Apply threat modeling frameworks specifically tailored for autonomous AI systems - Identify common vulnerabilities including prompt injection, data poisoning, and unauthorized tool execution - Implement zero-trust principles and guardrails to restrict agent actions and secure API integrations - Manage data privacy and compliance risks within retrieval-augmented generation (RAG) patterns - Design robust monitoring and human-in-the-loop validation strategies for agentic tasks The curriculum begins with essential terminology and the fundamentals of AI agent behavior before moving into structured threat analysis and risk mitigation techniques. You will read through practical scenarios, review secure system designs, and learn to apply industry-standard security frameworks to real-world workflows. This course is designed for business analysts, project managers, IT professionals, and beginners looking to secure AI integrations without needing a deep background in coding. Start learning today to build secure, resilient, and trustworthy AI-driven workflows.