08-31-2024, 01:10 AM
[center]![[Image: bc4ed1cacc8757fbcc6ce3e403eaa38a.png]](https://i123.fastpic.org/big/2024/0830/8a/bc4ed1cacc8757fbcc6ce3e403eaa38a.png)
Published 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 37m | Size: 2.56 GB
[/center]
Implementing the NIST AI RMF
What you'll learn
How to practically and theoritically appy the NIST AI RMF.
How to use The NIST AI RMF Playbook for managing risks associated with AI Systems.
How to Frame Risk in association with AI systems.
A detail understanding of all the elements of the NIST AI RMF as presented by the NIST Publication.
Requirements
A basic understanding of information security.
A willingness and committment to learn.
Description
Management of AI Risk-Implementing the NIST AI RMFIn an era where artificial intelligence (AI) is transforming industries and enhancing decision-making processes, the need for effective risk management has never been more critical. This course, "Management of AI Risk," provides a comprehensive exploration of the NIST AI-100-1 Risk Management Framework (RMF), equipping participants with the knowledge and skills necessary to identify, assess, and mitigate risks associated with AI systems.By doing this course, you will receive an in-depth and thorough, word for word walk-through of all the information presented in the NIST AI RMF documentation. The course covers the following areas as presented by the NIST AI-100-1 publication
art 1: Foundational Information Framing Risk1.1 Understanding and Addressing Risks, Impacts, and Harms 1.2 Challenges for AI Risk Management1.2.2 Risk Tolerance 1.2.3 Risk Prioritization1.2.4 Organizational Integration and Management of RiskAudienceAI Risks and Trustworthiness1.2.4 Organizational Integration and Management of Risk3.2 Safe3.3 Secure and Resilient3.4 Accountable and Transparent 3.5 Explainable and Interpretable3.6 Privacy-Enhanced3.7 Fair - with Harmful Bias ManagedEffectiveness of the AI RMFPart 2: Core and ProfilesAI RMF Core5.1 Govern5.2 Map5.3 Measure5.4 ManageAI RMF ProfilesWalk through of Appendix DocumentsWalk through of list of tables used in publicationApplication and Implementation of the NIST AI RMFRoadmap for Implementing NIST AI RMFPlaybook for Implementing NIST AI RMFCase Scenarios for Implementing NIST AI RMFCrosswalk Documents for the development of the NIST AI RMF
Who this course is for
GRC Professionals
IS Risk Managers
Cybersecurity Analyst
AI Application developers
Those interesting in learning about cybersecurity frameworks
CISO
Homepage
Screenshots
Published 8/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 37m | Size: 2.56 GB
[/center]
Implementing the NIST AI RMF
What you'll learn
How to practically and theoritically appy the NIST AI RMF.
How to use The NIST AI RMF Playbook for managing risks associated with AI Systems.
How to Frame Risk in association with AI systems.
A detail understanding of all the elements of the NIST AI RMF as presented by the NIST Publication.
Requirements
A basic understanding of information security.
A willingness and committment to learn.
Description
Management of AI Risk-Implementing the NIST AI RMFIn an era where artificial intelligence (AI) is transforming industries and enhancing decision-making processes, the need for effective risk management has never been more critical. This course, "Management of AI Risk," provides a comprehensive exploration of the NIST AI-100-1 Risk Management Framework (RMF), equipping participants with the knowledge and skills necessary to identify, assess, and mitigate risks associated with AI systems.By doing this course, you will receive an in-depth and thorough, word for word walk-through of all the information presented in the NIST AI RMF documentation. The course covers the following areas as presented by the NIST AI-100-1 publication
art 1: Foundational Information Framing Risk1.1 Understanding and Addressing Risks, Impacts, and Harms 1.2 Challenges for AI Risk Management1.2.2 Risk Tolerance 1.2.3 Risk Prioritization1.2.4 Organizational Integration and Management of RiskAudienceAI Risks and Trustworthiness1.2.4 Organizational Integration and Management of Risk3.2 Safe3.3 Secure and Resilient3.4 Accountable and Transparent 3.5 Explainable and Interpretable3.6 Privacy-Enhanced3.7 Fair - with Harmful Bias ManagedEffectiveness of the AI RMFPart 2: Core and ProfilesAI RMF Core5.1 Govern5.2 Map5.3 Measure5.4 ManageAI RMF ProfilesWalk through of Appendix DocumentsWalk through of list of tables used in publicationApplication and Implementation of the NIST AI RMFRoadmap for Implementing NIST AI RMFPlaybook for Implementing NIST AI RMFCase Scenarios for Implementing NIST AI RMFCrosswalk Documents for the development of the NIST AI RMFWho this course is for
GRC Professionals
IS Risk Managers
Cybersecurity Analyst
AI Application developers
Those interesting in learning about cybersecurity frameworks
CISO
Homepage
Screenshots
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