Security Engineering for Agentic AI Systems

О курсе

Dive into the world of agentic AI security and master the principles, tools, and strategies to secure autonomous AI systems. Learn how to defend against attacks, protect agent goals, and ensure the integrity of AI-driven environments. This course offers a comprehensive deep dive into securing these intelligent systems, from understanding their unique characteristics to managing autonomy risks. You'll start by exploring the new attack surfaces agentic systems introduce and why traditional cybersecurity methods fail to protect them. Through real-world examples and lab exercises, you’ll learn how to build a secure AI architecture, develop defensive engineering practices, and understand how human-agent interactions can create vulnerabilities. As you progress, you'll master the complexities of goal integrity, tool security, and the critical importance of securing agent communications. You'll also learn how to prevent misalignment, rogue agents, and manipulation within AI-driven systems. The course covers essential topics such as securing multi-agent systems, memory, and context integrity, with a focus on building a resilient and safe environment for agentic AI. In the final stages of the course, you will apply your knowledge through practical exercises that focus on integrating security across all layers of agentic AI systems. By the end, you’ll be prepared to tackle complex security issues, ensuring your agentic systems are robust, secure, and aligned with ethical and safety standards. This course is designed for cybersecurity professionals, AI engineers, and system architects who are responsible for securing agentic AI systems. It is ideal for those working in industries that implement autonomous AI agents, such as cloud platforms, cybersecurity, and AI development teams. A solid understanding of cybersecurity principles and basic AI concepts is recommended, though not mandatory. The course is structured to guide you through the essential concepts of agentic AI security, progressing from foundational principles to advanced techniques. Each module combines theoretical learning with hands-on labs to ensure practical application. You'll gain a deep understanding of the security risks unique to agentic AI and how to build resilient systems to defend against them. This course is based on Security Engineering for Agentic AI Systems, by Anand Rao Nednur. This course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

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