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Owasp Ai Exchange
Published 11/2025
Created by Andrew Lash
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 8 Lectures ( 4h 29m ) | Size: 4.1 GB[/center]
Learn how to identify, assess, and mitigate AI security and privacy risks using the OWASP AI Exchange framework.
What you'll learn
Explain the purpose and structure of the OWASP AI Exchange
Identify and describe key AI security threat categories
Identify and categorize key AI security and privacy threats
Integrate OWASP AI Exchange insights into AI governance and risk management frameworks such as NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Requirements
Basic understanding of cybersecurity or information-security concepts, such as threats, vulnerabilities, and controls. Familiarity with artificial intelligence or machine-learning fundamentals. An interest in AI security, privacy, and governance. Access to a web browser to explore the OWASP AI Exchange and related resources demonstrated in the course.
Description
Artificial intelligence is transforming industries, but it's also introducing new and complex security and privacy risks.The OWASP AI Exchange was created to help the global community understand, document, and mitigate these emerging threats.In this course, you'll explore how the OWASP AI Exchange supports secure and trustworthy AI development through its open, community-driven knowledge base. You'll learn how to identify and categorize AI-specific risks, analyze real-world incident examples, and apply OWASP guidance to strengthen the resilience of AI systems.You will discover how the OWASP AI Exchange connects with broader frameworks like NIST AI RMF, ISO/IEC 42001, and the EU AI Act, helping you align your AI projects with global best practices in governance and risk management.By the end of the course, you will:Understand the structure, goals, and community purpose of the OWASP AI ExchangeRecognize the main AI security and privacy threat categoriesLearn how to apply OWASP AI Exchange resources in real-world assessmentsKnow how to integrate OWASP insights into organizational frameworks for AI trustworthinessWhether you're a cybersecurity professional, AI developer, data scientist, or risk manager, this course gives you the foundation to confidently engage with AI security challenges and use the OWASP AI Exchange as an essential tool for learning, collaboration, and protection.
Who this course is for
Cybersecurity professionals and analysts who want to expand their knowledge into AI/ML system risks and threat modeling. AI developers, data scientists, and machine-learning engineers seeking to integrate secure-by-design principles into their AI lifecycle. Technology managers, risk officers, and compliance professionals aiming to align AI initiatives with frameworks such as NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Students and early-career technologists interested in entering the growing field of AI security and governance.
Owasp Ai Exchange
Published 11/2025
Created by Andrew Lash
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 8 Lectures ( 4h 29m ) | Size: 4.1 GB[/center]
Learn how to identify, assess, and mitigate AI security and privacy risks using the OWASP AI Exchange framework.
What you'll learn
Explain the purpose and structure of the OWASP AI Exchange
Identify and describe key AI security threat categories
Identify and categorize key AI security and privacy threats
Integrate OWASP AI Exchange insights into AI governance and risk management frameworks such as NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
Requirements
Basic understanding of cybersecurity or information-security concepts, such as threats, vulnerabilities, and controls. Familiarity with artificial intelligence or machine-learning fundamentals. An interest in AI security, privacy, and governance. Access to a web browser to explore the OWASP AI Exchange and related resources demonstrated in the course.
Description
Artificial intelligence is transforming industries, but it's also introducing new and complex security and privacy risks.The OWASP AI Exchange was created to help the global community understand, document, and mitigate these emerging threats.In this course, you'll explore how the OWASP AI Exchange supports secure and trustworthy AI development through its open, community-driven knowledge base. You'll learn how to identify and categorize AI-specific risks, analyze real-world incident examples, and apply OWASP guidance to strengthen the resilience of AI systems.You will discover how the OWASP AI Exchange connects with broader frameworks like NIST AI RMF, ISO/IEC 42001, and the EU AI Act, helping you align your AI projects with global best practices in governance and risk management.By the end of the course, you will:Understand the structure, goals, and community purpose of the OWASP AI ExchangeRecognize the main AI security and privacy threat categoriesLearn how to apply OWASP AI Exchange resources in real-world assessmentsKnow how to integrate OWASP insights into organizational frameworks for AI trustworthinessWhether you're a cybersecurity professional, AI developer, data scientist, or risk manager, this course gives you the foundation to confidently engage with AI security challenges and use the OWASP AI Exchange as an essential tool for learning, collaboration, and protection.
Who this course is for
Cybersecurity professionals and analysts who want to expand their knowledge into AI/ML system risks and threat modeling. AI developers, data scientists, and machine-learning engineers seeking to integrate secure-by-design principles into their AI lifecycle. Technology managers, risk officers, and compliance professionals aiming to align AI initiatives with frameworks such as NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Students and early-career technologists interested in entering the growing field of AI security and governance.
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