Security engineering for Agentic AI systems.

Format:

Video

Contributor:

Nednur, Anand Rao, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Computer security.

Intelligent agents (Computer software)--Security measures.

Intelligent agents (Computer software).

Artificial intelligence.

Physical Description:

1 online resource (1 video file (10 hr., 13 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Birmingham, United Kingdom] : Packt Publishing, 2026.

Summary:

In this 10-hour course, you will gain a deep understanding of how to secure agentic AI systems by addressing unique vulnerabilities and implementing advanced defense strategies. Learn how to build secure architectures, manage risks, and ensure ethical alignment in AI-driven systems through practical exercises and real-world examples. What I will be able to do after this course Identify and mitigate security risks unique to agentic AI systems Implement secure architectures that prevent autonomy and delegation vulnerabilities Defend against agent goal hijacking, drift, and hidden instruction exploits Secure agent tools, sandbox environments, and execution pipelines Design and enforce robust identity and access controls for non-human agents Course Instructor(s) Anand Rao Nednur is a cybersecurity and cloud expert with over 20 years of experience, specializing in AWS, Azure, Google Cloud, and IT security. He has led security initiatives and created educational content that simplifies complex concepts for professionals in cloud and security fields. Who is it for? This course is for cybersecurity professionals, AI engineers, and system architects tasked with securing agentic AI systems. It is ideal for those working in industries implementing autonomous AI agents, including cloud platforms and AI development teams, with a basic understanding of cybersecurity and AI concepts.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

1-80778-073-2

OCLC:

1586851471