Autonomous Identity provides the following features:
Broad Support for Major Identity Governance and Administration (IGA) Providers. Autonomous Identity supports a wide variety of Identity as a Service (IDaaS) and Identity Management (IDM) data including but not limited to comma-separated values (CSV), Lightweight Directory Access Protocol (LDAP), human resources (HR), database, and IGA solutions.
Highly-Scalable Architecture. Autonomous Identity deploys using a microservices architecture, either on-prem, cloud, or hybrid-cloud environments. Autonomous Identity's architecture scales linearly as the load increases.
Powerful UI dashboard. Autonomous Identity displays your company's entitlements graphically on its UI console. You can immediately investigate those entitlement outliers that could potentially be a security risk. The UI also lets you quickly identify the entitlements that are good candidates for automated low-risk approvals or re-certifications. Users can also view a trend-line indicating how well they are managing their entitlements.
Automated Workflows. Autonomous Identity reduces the burden on managers who must manually approve new entitlements, for example assigning access for new hires, by auto-approving high confidence, low-risk access requests and automate the re-certification of entitlements. Predictive recommendations lends itself well to automation, which saves time and cost.
Powerful Analytics Engine. Autonomous Identity's analytics engine is capable of processing millions of access points within a short period of time. Autonomous Identity lets you configure the machine learning process and prune less productive rules. Customers can run analyses, predictions, and recommendations frequently to improve the machine learning process.
Powerful Explainable AI Algorithms. The Analytics Engine provides transparent and explainable results that lets business users get insight into why the end-user has the access they have, or what access they should have.