Identity security is used to secure access to digital information or services based on the authenticated identity of an entity. Many identity security solutions can leverage artificial intelligence (AI) to help streamline processes and provide actionable insights to administrators and users. In this course, you'll discover common use cases for identity security, including securing DevOps, enabling access, and enforcing privilege. You will explore the key benefits and possible challenges of identity security that can be addressed by AI and ethical and privacy considerations when using AI for identity security. Next, you will discover strategies for integrating AI into existing identity security frameworks and how to predict future trends in AI-powered identity security based on current industry advancements. Lastly, you will explore the potential of AI in preventing identity theft and other related security threats.
Overview
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Syllabus
- discover the key concepts covered in this course
- provide an overview of identity security
- outline common use cases for identity security including securing DevOps, enabling access, and enforcing privilege
- identify the key benefits and possible challenges of identity security that can potentially be addressed by artificial intelligence (AI)
- list best practices when leveraging AI in an identity security solution
- outline how to use AI for identity verification
- use an AI model for identity verification
- compare AI-powered and traditional identity verification methods in action
- recognize ethical and privacy considerations related to the use of AI for identity security
- identify strategies for integrating AI into existing identity security frameworks
- use AI to detect potential identity threats
- predict future trends in AI-powered identity security based on current industry advancements
- outline the potential of AI in preventing identity theft and other related security threats
- summarize the key concepts covered in this course