Enterprise Security: Leveraging AI to Protect & Validate User Data

Generative AI    |    Intermediate
  • 16 videos | 1h 45m 48s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Data protection principles are fundamental guidelines that ensure the security, privacy, and integrity of data. As organizations increasingly rely on data analytics to extract valuable insights, it becomes crucial to prioritize data protection. In this course, you'll learn how artificial intelligence (AI) can be leveraged to enhance data protection and validation. Explore the principles of data protection including data availability, data life cycle management, and information life cycle management, and discover key areas where AI can enhance user data protection and validation. Next, consider the potential benefits and risks of leveraging AI for user data protection and validation and discover how to protect sensitive data and AI models. Lastly, explore common AI security risks such as AI model attacks, data security risks, code maintainability, and supply chain complexity, and consider how data integrity measures and AI can work hand in hand to improve an organization's security posture.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Provide an overview of data protection and validation
    List principles of data protection
    Differentiate between data protection and data privacy
    Identify key areas where artificial intelligence (ai) can enhance user data protection and validation
    Analyze the potential benefits and risks of leveraging ai for user data protection and validation
    Outline factors to consider when designing ai with data privacy
    Use an ai model to detect abnormal changes in user data
  • Outline how to protect sensitive data and ai models
    Compare ai-powered and traditional methods of user data protection in action
    Recognize common ai security risks such as ai model attacks, data security risks, code maintainability, and supply chain complexity
    Outline how data integrity measures and ai can be used together to improve an organization's security posture
    Identify ethical considerations and potential bias when using ai for user data protection
    Formulate strategies for integrating ai into existing data protection and validation frameworks
    Ensure ai data model integrity
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 19s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 6m 24s
    After completing this video, you will be able to provide an overview of data protection and validation. FREE ACCESS
  • Locked
    3.  Data Protection Principles
    10m 6s
    Upon completion of this video, you will be able to list principles of data protection. FREE ACCESS
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    4.  Data Protection vs. Data Privacy
    6m 27s
    After completing this video, you will be able to differentiate between data protection and data privacy. FREE ACCESS
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    5.  Artificial Intelligence (AI) and Data Protection
    8m 15s
    Upon completion of this video, you will be able to identify key areas where artificial intelligence (AI) can enhance user data protection and validation. FREE ACCESS
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    6.  AI Data Protection Benefits
    6m 12s
    After completing this video, you will be able to analyze the potential benefits and risks of leveraging AI for user data protection and validation. FREE ACCESS
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    7.  AI Data Privacy Principles
    6m 20s
    Upon completion of this video, you will be able to outline factors to consider when designing AI with data privacy. FREE ACCESS
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    8.  Detecting Abnormal Changes
    10m 13s
    In this video, you will learn how to use an AI model to detect abnormal changes in user data. FREE ACCESS
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    9.  Sensitive Data and AI Models
    6m 45s
    After completing this video, you will be able to outline how to protect sensitive data and AI models. FREE ACCESS
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    10.  Protecting Data Using AI
    9m 34s
    In this video, we will compare AI-powered and traditional methods of user data protection in action. FREE ACCESS
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    11.  AI Security Risks
    6m 40s
    Upon completion of this video, you will be able to recognize common AI security risks such as AI model attacks, data security risks, code maintainability, and supply chain complexity. FREE ACCESS
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    12.  Data Integrity and AI
    7m 10s
    After completing this video, you will be able to outline how data integrity measures and AI can be used together to improve an organization's security posture. FREE ACCESS
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    13.  Responsible AI
    6m 3s
    Upon completion of this video, you will be able to identify ethical considerations and potential bias when using AI for user data protection. FREE ACCESS
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    14.  AI and Data Protection Integration
    6m 37s
    After completing this video, you will be able to formulate strategies for integrating AI into existing data protection and validation frameworks. FREE ACCESS
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    15.  Ensuring AI Data Model Integrity
    6m 52s
    In this video, discover how to ensure AI data model integrity. FREE ACCESS
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    16.  Course Summary
    51s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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