With today’s newest Release From ForgeRock Autonomous Identity, we continue to advance the way Artificial Intelligence (AI) and Machine Learning (ML) make our customers’ lives easier. This commitment to innovation helps businesses reduce risk and more effectively manage access to the workforce. Autonomous Identity’s AI-powered identity governance and administration (IGA) approach offers new capabilities to help security and IT teams improve an organization’s security by bypassing permissions and excessive access privileges.

Learn more about the new version of ForgeRock Autonomous Identity by joining our upcoming webinar, “A New Era: Maximizing Zero Trust with AI-Driven Role Management.

Role-Based Access Control (RBAC) Promise Failure

Over the past decade, global organizations have leveraged traditional IGA and RBAC solutions to simplify the process of managing user identities and staff access permissions. While RBAC has helped reduce administrative work and improve regulatory compliance, its effectiveness erodes over time due to its manual, labor-intensive approach. This approach fails to keep up with large-scale identities in today’s fluid business environments, where employees frequently change jobs and organizations. This results in over-provisioned access, orphaned accounts and rights drift, which can lead to increased cyber risks.

AI-based approach for zero trust and role-based access control

ForgeRock Autonomous Identity leverages AI and machine learning to reduce business risk by uncovering role-based access models across the organization and recommending optimized role structures . These role-specific recommendations help ensure that users have the level of access they need while increasing the security posture of the organization.

With Autonomous Identity, organizations can effectively enforce least privilege access that restricts access to only the resources an employee or contractor needs to do their jobs. The implementation of AI-driven RBAC ensures that users have the correct permissions and access privileges. If more access is needed, it can easily be requested, granted or even withdrawn. This dynamic approach from RBAC successfully implements the “trust nothing, check everything” model that further minimizes the attack surface of internal and external threats.
Unlike other identity analysis solutions, Autonomous Identity can analyze and recommend new dynamic roles, rules, and memberships within weeks. Whereas traditional identity analysis solutions can only recommend static roles after months or years of human manual analysis. As a result, these traditional solutions cannot provide organizations with a path to least privilege or zero trust access. Autonomous Identity helps organizations achieve a better zero trust security posture with the following role management benefits and capabilities:

• Quickly discover role access models across the enterprise with AI-powered identity analysis
• Reduce risk exposure by identifying high-risk roles and role combinations with AI-powered views.
• Improve security decision making by understanding the composition of low, medium, and high trust roles with enhanced visibility by AI.
• Maximize role coverage with high-quality role definitions based on high-trust access models.
• Reduce operational costs by customizing risk criteria without the need for a data scientist.
• Increase least privilege access with role recommendations and AI-powered impact analysis.

Accelerate Your Zero Trust Security

Understanding the challenges of traditional RBAC and the best practices for addressing them is crucial to maximizing your IGA investments. Static IGA processes with limited context and visibility need to become more flexible, scalable and dynamic. Traditional RBAC needs to modernize by increasing manual role management with automation and intelligence.

ForgeRock standalone identity provides what you need to modernize RBAC by leveraging AI and machine learning. It is not necessary to replace your IGA infrastructure. ForgeRock Autonomous Identity augments your existing IGA solution to improve your organization’s visibility, agility and user access productivity. Modernizing RBAC with ForgeRock helps you reduce operational costs, mitigate risk, and seamlessly accelerate towards a Zero Trust security model.

To learn more about the new version of ForgeRock Autonomous Identity, I invite you to attend our upcoming webinar with leading IGA experts from ForgeRock and Accenture.

*** This is a syndicated Security Bloggers Network blog from Forgerock Blog written by Peter Barker. Read the original post at: https://www.forgerock.com/blog/accelerating-zero-trust-forgerock-autonomous-identity