ANS: Securing Multi-Agent Discovery

Partner: Udemy
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Description: Secure AI Agent Discovery Starts Here!As AI systems become more autonomous and interconnected, ensuring secure, scalable, and reliable agent discovery is no longer optional—it’s essential.This course takes you inside the world of Agent Name Services (ANS), equipping you with the skills to design robust discovery protocols, manage agent identities, prevent spoofing, and build future-proof, interoperable systems.Whether you’re an engineer, developer, or researcher, this course will give you the tools to bridge theory and real-world implementation in distributed AI agent networks.What You'll Learn:The fundamentals of Agent Name Services (ANS) and their purpose in AI networks.Naming conventions, addressing schemes, and namespace management for multi-agent systems.Secure discovery protocols to prevent spoofing, hijacking, and unauthorized access.Scalable ANS architectures for handling large, distributed agent networks.Theoretical discovery algorithms and trade-offs in speed, accuracy, and resources.Open standards, interoperability challenges, and cross-platform agent communication.Future directions of ANS including decentralized identity, blockchain, and ethical considerations.This course is packed with practical examples, thought challenges, and real-world insights to help you build a strong foundation in secure agent discovery and naming systems for AI.By the end of this course, you’ll have the knowledge and tools to design secure, scalable, and future-proof ANS solutions for distributed AI applications.About the Instructor: ProTech AcademyProTech Academy is dedicated to providing high-quality training and resources for professionals and individuals lo
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Price: 199.99
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Source: Impact
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