Beyond Content Management for Real Knowledge Sharing
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The document discusses the importance of AI-driven access management systems, particularly focusing on the adaptation of Role-Based Access Control (RBAC) to meet the demands of unstructured data and evolving organizational needs. It emphasizes the economic advantages AI brings and proposes an adaptable framework for managing access control rules, enhancing security, compliance, and user satisfaction. Key recommendations include collaboration between AI and domain experts and a metadata-driven approach to improve data governance.
Beyond Content Management for Real Knowledge Sharing
- 1. Beyond CM for Real Knowledge Sharing AI-Based Access Management: Ensuring Real-time Data and Knowledge Control Urmi Majumder Principal Consultant Enterprise Knowledge, LLC. umajumder@enterprise- knowledge.com Maryam Nozari Senior Data Scientist Enterprise Knowledge, LLC. mnozari@enterprise- knowledge.com
- 2. ENTERPRISE KNOWLEDGE Machine Learning in KM CONTENT EXPLOSION 90% of the data and information we have today was created just in the past two years UNSTRUCTURED CONTENT Over 85% of the content and information we work with is unstructured MACHINE-READABLE Metadata make unstructured content machine-readable and ready to work with machine learning and artificial intelligence applications ECONOMIC TRANSFORMATION AI is set to be the key source of competitive advantage in today’s economy, contributing to 45% of total economic gains by 2030 AI IN ACTION AI entails leveraging machine capabilities to deliver organizational knowledge in a way that closely aligns with how we process data INFORMATION SILOS Most organizations are built to organize and manage data and information by type and department or business function
- 3. RBAC is a method of regulating access to computer or network resources based on the roles of individual users within an organization. It is a fundamental component of secure data governance. RBAC has become increasingly relevant due to regulatory complexity, growth of edge computing and loT, and the rising sophistication of cyber threats. ⬢ Static nature of rules ⬢ Difficulty in handling complex, dynamic environments ⬢ Low adaptability to changes in user roles and data sensitivity Challenges in Traditional Systems Role-Based Access Control (RBAC)
- 4. Adaptability Enhanced adaptability to changing environments Accuracy Improved accuracy to access decisions Nuance Improved ability to handle complex, nuanced scenarios Access Controls Dynamic access control Immediate Changes Real-time data governance, providing immediate awareness to changes in data sensitivity, evolving roles, and contextual factors Benefits of Integrating AI into RBAC AI-RBAC contributes to these benefits by allowing dynamic updating and application of access control rules based on AI analysis.
- 5. ENTERPRISE KNOWLEDGE Adaptable Rule Foundation (ARF) System Concept of ARF: ⬢ A flexible, AI-driven framework for managing access control rules ⬢ Allows for dynamic updating and application of rules Classification Levels: ⬢ Core: Universally applicable rules (e.g., regulatory compliance) ⬢ Common: Domain-specific rules (e.g., industry standards) ⬢ Unique: Organization-specific rules (e.g., internal policies)
- 6. AI-RBAC in Action The goals of this engagement are to: Context: Common challenge of onboarding new employees and ensuring they have immediate, appropriate access to necessary documents without compromising security. Immediate Productivity Reduced Administrative Burden Enhanced Security Compliance Increased Employee Satisfaction:
- 7. 5. SECURE KNOWLEDGE SHARING Holistic approach to knowledge sharing in a dynamic, secure, and efficient way 4. EVALUATION Evaluate your current RBAC system against emerging AI capabilities 3. AI AND DOMAIN EXPERTS ● Collaboration between AI and domain experts is crucial ● Ensuring the access control systems are aligned with operational needs 2. METADATA-DRIVEN APPROACH ● Metadata-driven approach improves unstructured data governance ● Improving how content is categorized and controlled 1. AI INTEGRATION ● AI integration enhances RBAC adaptability and accuracy ● Providing the right access to the right people at the right time. Implementing AI-RBAC