Red teaming AI-powered applications.

Format:

Video

Contributor:

Sehgal, Vandana Verma, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Computer security.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (28 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

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

Summary:

In this 1-hour course, you'll explore how AI-powered applications introduce new security risks and how attackers exploit weaknesses through prompt injection, data leakage, and model manipulation. Learn practical AI red teaming techniques to strengthen modern AppSec defences and build more resilient AI-enabled systems. What I will be able to do after this course Identify AI application attack surfaces Analyse prompt injection vulnerabilities Detect data leakage risks in AI systems Apply AI red teaming methodologies Strengthen AI application defences Course Instructor(s) Vandana Verma is a Security Relations Leader at Snyk with 19+ years of cybersecurity experience. She is a former OWASP Global Board member, global speaker, AppSec advocate, and leader of multiple diversity and cybersecurity awareness initiatives. Who is it for? This course is for application security professionals, developers, penetration testers, DevSecOps engineers, and AI practitioners looking to understand and secure AI-powered applications. Familiarity with application security concepts is recommended.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808089176

OCLC:

1593829413