Securing AI Agents
Foundations, Frameworks, and Real-World Deployment
Springer
ISBN 978-3-032-02129-8
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Hardcover
2025
34 s/w-Abbildungen, 20 Farbabbildungen.
In englischer Sprache
Umfang: xii, 321 S.
Format (B x L): 15,5 x 23,5 cm
Verlag: Springer
ISBN: 978-3-032-02129-8
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Advances in Data Analytics, AI, and Smart Systems
Produktbeschreibung
The book features dedicated chapters on agentic AI threat modeling, identity security, communication security in MAS (Multi-Agent Systems), red teaming, AI agents life cycle security, capability and security benchmarking using GAIA and AIR frameworks, Reinforcement Learning (RL) and security, secure agentic AI deployment strategies, innovative open source security frameworks (Cloud Security Alliance and OWASP examples), and case studies of commercial startups addressing agentic AI security challenges. It also explores the unique threat landscape of agentic AI, the challenges of securing communication and identity within multi-agent systems, and the practical application of security benchmarks and open-source frameworks.
As such, the book equips cybersecurity professionals, AI developers, and researchers with the knowledge and tools to mitigate the unique security risks associated with autonomous agents and multi-agent systems.
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com