With Raito, you can get insights in data access & usage from the very first moment you connect your data source. Our graph model gives you unique insights into who has access to what, how they use their permissions, and monitor how this changes over time. Our customers use our AI/ML Policy Recommender to identify and resolve permission misconfigurations, so that they can apply least privilege access management at the data level without disrupting their data operations.

Raito also offers a lightweight open-source agent that can run within your security perimeter for maximum security. Raito's intuitive user interface lets data owners review and approve access requests, so that data workers can get access to the data they need in minutes instead of weeks. After approval, Raito updates the permissions directly in the underlying data sources, and automatically revokes access after a certain amount of time in case of time-bound access requests. Data Owners can save time by pre-approving access requests so that these access requests are auto-approved when certain conditions are met.

Raito's tag-based policies let you automate authorization processes, reduce the risk of data breaches, and ensure compliance with privacy regulations using dynamic data and user attributes. Based on the characteristics of the user and data, Raito will grant or deny access using the centrally defined policies, no matter where the data is consumed.