Security Engineering for Agentic AI Systems
Mastering the Security of Agentic AI Systems for the Modern Cyber Landscape
Created by Anand Rao Nednur
Explore the security challenges of agentic AI systems and learn how to protect autonomous environments from emerging threats. Understand why traditional defenses fall short and discover strategies to keep agentic AI secure and aligned with organizational goals.
Packt | Apr 2026 | 613 min
What You Will Learn
You will build your expertise by combining foundational concepts with hands-on labs that mirror real-world scenarios. Each section introduces new security risks and guides you through practical methods for defending agentic AI, helping you develop skills that translate directly to your work.
Key Features
- Identify and address unique attack surfaces in agentic AI environments
- Develop secure architectures and enforce robust agent controls
- Apply defensive engineering practices through practical, real-world labs
Target Audience
Ideal for cybersecurity professionals, AI engineers, and system architects who work with or plan to secure autonomous AI systems. If you have a solid grasp of cybersecurity basics and want to tackle the unique risks of agentic AI, this course will help you advance your skills and protect your organization.
