Identify Security Blind Spots and Mitigate Risks with AI-Driven Analytics.
Autonomous Identity enables you to see who has access to what, enterprise-wide, providing your security teams with contextual awareness of your risk posture. Autonomous Identity is an artificial intelligence (AI)-driven identity analytics solution that leverages machine learning (ML) techniques to collect and analyze identity data and identify access blind spots.
60%
Reduction in access requests, revocations, and certifications
20x
Increase in access outlier revocation rates
70%
Reduction of required roles in major ERP application
80%
Click-rate reduction in the certification review process
Source: A Multinational Financial Services Company
Overburdened security and IT teams must often rubber-stamp user access. With Autonomous Identity, you can eliminate over-provisioning by automating access approvals and reviews.
Streamline and automate all identity governance and administration (IGA) use cases: access requests, reviews, and role engineering.
Autonomous Identity provides your security team with insights into the risks associated with the user access landscape.
Manual processes delay user access to resources, reducing productivity. Ping Identity boosts efficiency by auto-provisioning new employees' access and reducing help-desk calls and tickets.
Legacy role-based access control (RBAC) requires manual input and constant maintenance. Ping Identity analyzes and optimizes role access patterns, so you can create fewer and higher-quality roles.
Autonomous Identity allows you to address increasing regulatory compliance pressures and remote workforce security issues, while improving operational efficiencies. It also increases the business value of your established identity governance solutions by directly integrating with them.
AI-driven identity analytics help you collect and analyze identity data from diverse identity, governance, and infrastructure solutions. This provides enterprise-wide visibility into all identities and what they have access to. It also gives security and risk teams contextual insights into low, medium, and high-risk user access at scale.
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