The Answers to the Challenges

Clear Entitlement effectively addresses the challenge of policy complexity by introducing a robust and flexible policy engine built upon the foundation of XACML while extending its capabilities beyond traditional models. By leveraging a model that encompasses Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC), Clear Entitlement offers organizations the versatility to define and manage access policies tailored to their specific needs.

Clear Entitlement offers robust support for both fine-grained data entitlement and functional entitlement. Data entitlement safeguards the system by controlling access to specific data resources at the API level, ensuring only authorized users can access them. Meanwhile, functional entitlement enhances user experience by dynamically adjusting the UI based on user access rights. For example, developers can customize the UI to show or hide menu items dynamically according to the user's permissions. Clear Entitlement further streamlines this process by providing a bulk API to retrieve functional entitlement for all nodes within a branch of the resource tree. This capability allows for efficient and precise control and customization of UI components.

Clear Entitlement establishes its provisioning model atop SCIM, facilitating customizable SCIM extensions using JSON schema to accommodate various entitlement models. This approach enables organizations to define custom attributes such as authorized accounts and maximum payment amounts within the SCIM schema. Beyond policy management, Clear Entitlement empowers users with intuitive UI features for managing SCIM data and extensions. Customers can seamlessly modify the UI schema to tailor the data model according to their specific requirements, allowing for effortless customization and adherence to US customization standards

To address performance challenges associated with data redaction and pagination, Clear Entitlement adopts a sophisticated security filter approach, optimizing the retrieval of authorized data while minimizing processing overhead. Unlike traditional methods that involve checking access individually for each search result, particularly cumbersome with large datasets and pagination, Clear Entitlement efficiently returns only authorized data using security filters. Customers benefit from the flexibility of defining templates within policy obligations to generate filters tailored to different data stores, such as SQL, NoSQL, LDAP, and more. Alternatively, customers can choose to return JSON obligations to the Policy Enforcement Point (PEP), which translates them into filter objects, such as Hibernate detached criteria or prepared SQL statements. This facilitates seamless integration and efficient data retrieval.

Clear Entitlement provides a robust solution for policy change management through its out-of-the-box (OOTB) workflow capabilities. This feature streamlines the process by defining three distinct roles: Policy Modeler, Policy Approver, and Policy Deployer. Each role is assigned specific responsibilities to manage the lifecycle of policies effectively. The Policy Modeler is responsible for creating and modifying policies, while the Policy Approver ensures the accuracy and compliance of proposed changes. Finally, the Policy Deployer oversees the deployment of approved policies into production environments. Additionally, Clear Entitlement supports policy export and import functionalities, enabling seamless promotion of policies from lower environments to production. This feature ensures consistency and reliability across different environments while facilitating efficient policy management and deployment processes.

Clear Entitlement offers comprehensive support for Segregation of Duties (SoD) with two distinct options tailored to meet varying organizational needs. The first option, Mutually-Exclusive Roles, allows organizations to define roles that are mutually exclusive, ensuring that individuals cannot simultaneously hold conflicting roles. Clear Entitlement generates violation reports to identify any instances of role conflicts, enabling organizations to promptly address and rectify violations.
Alternatively, Clear Entitlement provides dynamic SoD policies for scenarios where the static nature of mutually exclusive roles is not suitable. For example, an organization may permit individuals to serve as both a maker and a checker, as long as they do not act on the same transaction. In such cases, Clear Entitlement facilitates the implementation of policies that deny access if a user is already involved in a transaction, thereby preventing potential conflicts of interest. This dynamic approach to SoD policy enforcement ensures greater flexibility and adaptability to complex organizational structures and requirements, ultimately enhancing security and compliance measures.

Clear Entitlement integrates cutting-edge artificial intelligence (AI) capabilities to enhance its access management functionalities. By meticulously logging both policy management and runtime access auditing records, Clear Entitlement accumulates a wealth of data ripe for AI analysis. Leveraging AI algorithms, Clear Entitlement performs Anomaly Detection to identify unusual access patterns or behaviors that may indicate potential security threats or policy violations. Furthermore, the system conducts Access Review and Remediation processes, scrutinizing access rights and usage patterns to ensure compliance and mitigate risks. In addition, Clear Entitlement employs Role Mining techniques during user re-certification exercises, analyzing access patterns to identify and refine role assignments for optimal access control. With its AI-driven features, Clear Entitlement empowers organizations to proactively detect anomalies, maintain compliance, and optimize access management processes.