Access Management

Access management is a critical business function that involves controlling and monitoring user access to an organisation's digital resources, including applications, systems, and data. Traditionally, IT administrators manually manage user permissions, create and delete accounts, and audit access logs to ensure security compliance.

1. Healthcare: Managing access to patient records across different hospital departments and roles.
2. Financial Services: Controlling access to trading platforms and sensitive financial data for various job functions.
3. Manufacturing: Managing access to industrial control systems and production data for factory floor workers and managers.
4. Education: Controlling access to online learning platforms, research databases, and administrative systems for students, faculty, and staff.
5. Retail: Managing access to point-of-sale systems, inventory databases, and customer information for store employees and corporate staff.

1. User requests access to a system or resource
2. AI verifies user identity through multi-factor authentication
3. AI analyses user role, department, and historical access patterns
4. AI checks organisational policies and regulatory requirements
5. AI grants or denies access based on analysis
6. AI logs the access attempt and decision
7. AI continuously monitors user activity for anomalies
8. AI automatically adjusts permissions based on usage patterns and policy changes
9. AI generates regular access reports for compliance and auditing

If needed at any point:

• AI flags suspicious activity for human review
• IT administrators can override AI decisions
• Users can request manual review of access denials

Privacy and data protection: The AI system is designed with privacy-by-design principles, ensuring that it only accesses and processes the minimum necessary data to perform its function. All data is encrypted, and the system complies with relevant data protection regulations.

AI decision-making transparency: The AI system provides detailed logs and explanations for its access decisions, allowing for human review and auditing. This ensures transparency and accountability in the decision-making process.

System reliability and downtime: The AI system is built with redundancy and fail-safes to ensure high availability. In the unlikely event of a system failure, there are manual override procedures in place to ensure continuous access management.

False positives and negatives: While the AI system is highly accurate, it may occasionally make errors. To mitigate this, the system flags borderline cases for human review and allows for easy appeals and manual overrides by authorised administrators.

Integration with legacy systems: The AI access management system is designed to integrate with a wide range of existing IT infrastructure, including legacy systems. Custom adapters and APIs ensure seamless integration across diverse technology stacks.