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Beginnt 4 June 2026 19:33

Endet 4 June 2026

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Understanding Agentic Systems and Governance - What Are AI Identities?

Dive into the revolutionary world of agentic AI systems and discover their impact on identity governance. This event covers evolving strategies for implementing dynamic, adaptive access controls and offers insights into effectively securing AI identities within intricate environments. Ideal for enthusiasts of artificial intelligence and comput.
IBM via YouTube

IBM

6076 Kurse


11 minutes

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Free Video

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Übersicht

Dive into the revolutionary world of agentic AI systems and discover their impact on identity governance. This event covers evolving strategies for implementing dynamic, adaptive access controls and offers insights into effectively securing AI identities within intricate environments.

Ideal for enthusiasts of artificial intelligence and computer science, this engaging session is provided through YouTube, giving you the flexibility to expand your knowledge from anywhere.

Lehrplan

  • Introduction to Agentic AI Systems
  • Definition and characteristics of agentic AI
    Historical development and evolution
    Current and emerging applications
  • AI Identity Governance
  • Concept of AI identities
    Components of AI identity systems
    Importance of identity governance in AI systems
  • Dynamic and Adaptive Access Controls
  • Traditional vs. dynamic access controls
    Adaptive control mechanisms in AI
    Case studies of adaptive access control applications
  • Transforming Identity Governance with AI
  • Impact of AI on traditional identity governance
    Innovations in AI-driven identity management
    Challenges and considerations in AI identity governance
  • Strategies for Securing AI Identities
  • Risk assessment and mitigation strategies
    Implementation of robust security protocols
    Best practices for maintaining AI identity integrity
  • Complex Environment Considerations
  • Scalability and flexibility in dynamic environments
    Managing identity across distributed systems
    Real-world scenarios and problem-solving approaches
  • Ethical and Regulatory Implications
  • Ethical considerations in AI identity governance
    Overview of regulatory frameworks and compliance
    Future trends in AI governance and policy-making
  • Case Studies and Practical Applications
  • Examination of successful AI identity governance implementations
    Lessons learned and transferable insights
    Practical exercises and group projects
  • Conclusion and Future Outlook
  • Summary of key takeaways
    Emerging trends and technologies in AI identity governance
    Preparing for future advancements and challenges

Fachgebiete

Computer Science