Understanding Agentic Systems and Governance - What Are AI Identities?

Overview

Explore how agentic AI systems are transforming identity governance with dynamic, adaptive access controls, and learn effective strategies for securing AI identities in complex environments.

Syllabus

• 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

Subjects

Computer Science