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Defending the autonomous enterprise.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
Rosenquist, Matthew, instructor.
Packt Publishing, publisher.
Language:
English
Subjects (All):
Computer security.
Artificial intelligence.
Intelligent agents (Computer software)--Security measures.
Intelligent agents (Computer software).
Physical Description:
1 online resource (1 video file (35 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Birmingham, United Kingdom] : Packt Publishing, 2026.
Summary:
In this 1-hour keynote course, you'll explore how organisations can defend increasingly autonomous AI-driven environments against emerging agentic AI threats. Learn practical blue team strategies for securing AI workflows, reducing attack surfaces, and building resilient enterprise security programmes. What I will be able to do after this course Understand agentic AI security risks Analyse autonomous enterprise threats Adapt blue team defence strategies Secure AI workflows and integrations Reduce AI-driven attack surfaces Course Instructor(s) Matthew Rosenquist is a CISO, cybersecurity advisor, speaker, and industry thought leader specialising in cybersecurity strategy, risk management, and emerging threats. He is recognised for helping organisations build sustainable and effective security programmes. Who is it for? This course is for cybersecurity leaders, blue team professionals, SOC analysts, security architects, AI practitioners, and enterprise decision-makers responsible for securing AI-driven environments and autonomous enterprise systems.
Notes:
OCLC-licensed vendor bibliographic record.
ISBN:
9781808088612
OCLC:
1596804692

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