Omada Identity Cloud:
Role Insights

The rapid expansion of cloud environments has dramatically increased the complexity of managing user access. As organizations adopt new applications and systems, users accumulate entitlements, often exceeding their job requirements. This overprovisioning of access creates a tangled web of permissions that is difficult to manage, hinders operational efficiency, and poses significant security risks.
To address this challenge, many organizations turn to Role-Based Access Control (RBAC). However, without a robust role mining process, RBAC initiatives often fall short. Traditional, manual methods of role definition are time-consuming, error-prone, and frequently result in an overabundance of roles. This leads to inefficient role management, complex certification processes, and persistent overentitlement issues. These challenges not only impede productivity but also increase the risk of data breaches and regulatory non-compliance.
Ensuring users have the precise access they need to perform their jobs while maintaining robust security requires a modern Identity Governance and Administration (IGA) solution equipped with powerful role capabilities:

1. Data-Driven Insights: Automated data collection and analysis provide a clear picture of user activity. This empowers you to identify access patterns and potential security risks.
2. Automated Role Discovery and Optimization: Leveraging data-driven insights, the IGA solution automatically discovers and optimizes user roles. This ensures users have the precise access required for their tasks, minimizing security vulnerabilities and fostering a productive and compliant workforce.

Introducing Omada’s Role Insights

Role Insights takes Omada Identity Cloud to the next level, streamlining user access and entitlement management. Leveraging Machine Learning (ML), this powerful tool analyzes access patterns to discover optimal user roles for organizations based on their user access data. Role Insight’s comprehensive approach ensures you have the visibility and control needed for optimized identity governance, enhanced security, and simplified compliance.

Unify Your Access Data for Clear Visibility

It is common for enterprises to have a fragmented view access across their user bases. This lack of clarity hinders effective access management decisions. Manually collecting and consolidating data from these disparate sources is not only time-consuming, but also prone to errors. This inefficiency further complicates mapping user access to evolving compliance regulations, creating a significant challenge for organizations.

Role Insights tackles these challenges by streamlining data collection and analysis. It acts as a central hub, leveraging user access information from all connected sources like HR systems, Active Directory, and cloud applications. This unified dataset empowers in-depth analysis of access patterns, allowing you to identify common roles and access needs within your organization and make more informed access decisions.

Omada Identity Analytics, our advanced data analysis and visualization platform, leverages the insights gleaned from Role Insights to display data in a user-friendly format. This allows role engineers and administrators to examine this data from various perspectives: by organizational structure, location, compliance regulations, risk levels, specific applications, and even individual users. This comprehensive view empowers you to make informed access management decisions, streamline compliance audits, and proactively identify potential security risks.

Role Insights uncovers hidden patterns in your access data and will highlight this with clear visualizations, allowing you to optimize access control and fortify your security posture.

Role Insights leverages identity data to recommend potential roles, providing detailed information including granted access, user count, and other key metrics.

Automate Role Management for Efficiency

As previously mentioned, the traditional approach to role management can create a cascade of issues for organizations. Manually identifying and defining roles becomes a time-consuming process, often leading to inaccuracies. These manually created roles can quickly become outdated, failing to reflect the ever-changing access needs within the organization. This results in a workforce with either too much access (security risk) or too little (productivity hindrance), all while struggling to meet compliance regulations due to inconsistencies within the role framework.

Role Insights solves these challenges with a suite of automated features:

1. Role Discovery: Advanced ML algorithms analyze real-world user access patterns to identify potential roles that directly reflect actual user needs, eliminating the guesswork and time-consuming process of manual role creation.
2. Prioritization of Roles: Role Insights scores potential roles based on access needs, helping you create the most relevant ones first.
3. Proactive Role Simulation: Test new roles with role simulation to avoid conflicts and ensure a smooth rollout.
4. Collaborative Role Creation: Share and validate roles with stakeholders using familiar Excel before deployment.
5. Role Management: Identify likely role owners and role assignment/removal for streamlined efficiency.

By leveraging ML, Role Insights eliminates the time-consuming and error-prone process of manual role identification. This ensures roles accurately reflect user needs, minimize security risks and access creep, fostering a more automated, efficient, and secure environment.

For in-depth analysis, Admins can delve deeper into specific role candidates to understand the recommended role’s details and organizational impact.