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AI security fundamentals : LLM threats and OWASP principles 2026.

In this 6-hour course, you will gain a comprehensive understanding of security challenges specific to Large Language Models (LLMs) and learn strategies to protect them from various threats, including prompt injection and sensitive information disclosure. The course covers preventive measures, regula...

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Bibliographic Details
Main Author: Nednur, Anand Rao (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: Video
Language:English
Published: [Birmingham, United Kingdom] : Packt Publishing, 2025.
Edition:[First edition].
Subjects:
Computer networks > Security measures.
Natural language processing (Computer science)
Artificial intelligence.
Réseaux d'ordinateurs > Sécurité > Mesures.
Traitement automatique des langues naturelles.
Intelligence artificielle.
artificial intelligence.
Instructional films.
Nonfiction films.
Internet videos.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Online Access:Connect to the full text of this electronic book
Description
Summary:In this 6-hour course, you will gain a comprehensive understanding of security challenges specific to Large Language Models (LLMs) and learn strategies to protect them from various threats, including prompt injection and sensitive information disclosure. The course covers preventive measures, regulatory compliance, and evolving risks like misinformation generation, ensuring a solid foundation for securing AI systems. What I will be able to do after this course Understand the core security challenges faced by LLM applications Learn how to defend against prompt injection vulnerabilities and attacks Explore strategies for preventing sensitive information disclosure in LLMs Gain insights into securing LLM supply chains and third-party dependencies Learn techniques for detecting and mitigating data and model poisoning attacks Course Instructor(s) Anand Rao Nednur is a cybersecurity and cloud expert with over 20 years of experience. He holds various certifications and has helped numerous organizations optimize their cloud infrastructure. Anand shares his knowledge through blogs and YouTube videos, making complex topics accessible to learners. Who is it for? This course is designed for technical professionals in AI, machine learning, and cybersecurity, including developers, security engineers, and data scientists. It's ideal for those with a basic understanding of AI or cybersecurity, especially those working with LLM systems or AI applications requiring robust security frameworks.
Physical Description:1 online resource (1 video file (06 hr., 10 min.)) : sound, color.
Playing Time:06:10:00
ISBN:9781806381197
1806381192