Saviynt, a leading provider of cloud-native identity and governance platform solutions, has announced the launch of its highly anticipated Intelligence Suite, which includes the general availability of Intelligent Recommendations. This new offering promises to revolutionize identity security with its advanced features, including dynamic role management, tailored access recommendations, actionable insights, and a multi-dimensional weighted trust scoring model.
Jeff Margolies, Saviynt’s Chief Product and Strategy Officer, emphasized the transformative impact of Saviynt Intelligence. “Saviynt Intelligence will shift identity security from a set of operational processes into a domain driven by artificial intelligence (AI) and machine learning (ML). Our solutions are designed to cut access request and provisioning times by over 50%, reduce role development and management efforts by more than 80%, and decrease access certification workloads by upwards of 80%,” Margolies explained.
The Intelligence Suite introduces several key components:
- Access Recommendations: This feature showcases Saviynt’s most advanced access recommendation engine to date. It self-assesses various dimensions such as peer analytics, usage patterns, and access risk. Notably, it filters out potentially risky or elevated access—a pioneering move in the industry. The third-generation peer analytics engine can analyze distinct user clusters across different identity types, including workforce, contractors, externals, machines, and privileged accounts. It generates recommendations for removing high-risk access during certifications and proposes dynamic roles available during access requests.
- Copilot: An AI-powered assistant designed to streamline tasks for end users. Copilot offers intuitive choices and provides decision-makers with actionable insights, enhancing user experience across certifications, requests, report creation, dashboards, global searches, tenant/application onboarding, and connector builds. The initial release focuses on certifications, significantly reducing certification fatigue and improving the revocation of sensitive and critical access by up to 75%.
- Trust Scoring: This feature integrates various risk signals to create a single, weighted trust score, simplifying decision-making. Trust scores can be adjusted based on internal risk signals and peer access analytics, enabling autonomous decision-making and ensuring audit readiness with comprehensive explainability.
Vibhuti Sinha, Chief Product Officer of Workforce Identity and Intelligence at Saviynt, highlighted the need for such innovations. “The identity landscape is evolving rapidly. With the increasing variety and volume of identity types and events, we are delivering an intelligent platform capable of addressing our customers’ and partners’ identity security needs for the next decade. Our goal is to handle the complex integrations, appropriate access assignments, and security checks with minimal user input. This is our guiding principle, and we are proud to deliver on it.”
Sinha also noted that early adopters of the Saviynt Intelligence Suite have reported impressive results, including a more than 70% increase in access revocations for critical and sensitive access, over 60% efficiency gains in access recommendations, and a sixfold increase in identifying and cleaning up outlier access.
Looking ahead, Saviynt plans to release its Identity Security Posture Management (ISPM) in Q4 2024. This forthcoming product will feature the industry’s first large language model (LLM) implementation on an enterprise-grade identity data lake. (Linkhouse)
