Enterprise Knowledge’s Urmi Majumder and Maryam Nozari presented “AI-Based Access Management: Ensuring Real-time Data and Knowledge Control” on November 21 at KMWorld in Washington, D.C.

In this presentation, Urmi and Maryam explored the crucial role of AI in enhancing data governance through Role-Based Access Control (RBAC), and discussed how the Adaptable Rule Foundation (ARF) system uses metadata and labels to classify and manage data effectively across three levels: Core, Common, and Unique. This system allows domain experts to participate actively in the AI-driven governance processes without needing deep technical expertise, promoting a secure and collaborative development environment.

Check out the presentation below to learn how to:

• Implement AI to streamline RBAC processes, enhancing data security and operational efficiency.
• Understand the impact of real-time data control on organizational dynamics.
• Enable domain experts to contribute securely and effectively to the AI development process.
• Leverage the ARF system to adapt security measures tailored to the specific needs of various organizational units.