Validated AI red teaming at scale.

Format:

Video

Contributor:

Sotiropoulos, John, instructor.

Packt Publishing, publisher.

Language:

English

Subjects (All):

Computer security.

Artificial intelligence.

Physical Description:

1 online resource (1 video file (32 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

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

Summary:

In this 1-hour course, you'll learn how to perform evidence-driven AI red teaming using structured attacks, automated scoring, and multi-model evaluation techniques. Explore practical frameworks and tools for securing AI systems in regulated environments such as healthcare, finance, and government. What I will be able to do after this course Build structured AI red teaming workflows Analyse multi-step AI attack scenarios Apply automated AI scoring techniques Use multi-model evaluation panels Generate audit-defensible evidence Course Instructor(s) John Sotiropoulos is a senior security architect at Kainos specialising in AI security, adversarial AI, and national-scale systems. He is a co-lead of the OWASP Top 10 for LLM Applications and collaborates with global standards and cybersecurity organisations. Who is it for? This course is for AI security professionals, red teamers, security architects, governance specialists, and compliance teams working with AI systems in regulated industries. Familiarity with cybersecurity and AI concepts is recommended.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9781808085239

OCLC:

1596776592