Saviynt’s Risk Insight Panel assesses risk from different sources and aids data-driven decision making.
As access approvals and denials occur, Saviynt gathers data from each request made. Our platform curates and learns from the data; eventually, the AI precisely understands appropriate responses to common request scenarios. This alleviates the burden of repetitive requests and enables approvers to focus on unusual or high-risk requests.
Our automation also reduces costs associated with birthright provisioning, continuous monitoring, and governance. We’re excited about how automated dynamic provisioning leads companies toward zero standing privilege and just-in-time access principles. Along the way, we’re creating linkages between all identifiers, cataloging and discovering assets, and making time-series observations of these relationships to build recommendations and personalization.
Organizations utilizing Saviynt have seen up to 36% of SoD violations prevented during the access request process. This reduction translates to managers saving time when reviewing excess access. Historical data, platform analytics, and peer benchmarks are feeding our AI to help drive actionable authorization decisions, as well.
Our AI & ML recommendation engine supports other insights, including business rule and policy suggestions, and recommendations to improve role quality, ownership, and user membership. Saviynt’s work to build a fully automated, self-learning platform is part of our mission to transform IGA and create a truly “prescriptive” identity experience.