Sonrai Security has announced new functionality designed to automate prevention of data breaches in public cloud deployments for its Sonrai Dig platform.
Supporting public cloud databases in combination with advanced behavioral modeling and automated blocking, the newly enhanced service helps ensure critical corporate data is secure wherever it resides in cloud environments.
Sonrai Dig already supports automated discovery of data stores and the automatic classification of sensitive data using an extensive library of pre-configured machine learning models that safeguard critical financial information, Personal Identifiable Information (PII) and other sensitive data.
Its identity and data governance capabilities allow clients to lock down access privilege to sensitive stores.
New capabilities include extensive cloud native database support for AWS Aurora, AWS Redshift, Oracle, Postgres, MySQL with additional support for MSQL and AWS DynamoDB. Data protection also works for object stores, like S3 and Azure Storage Accounts.
Also, new modeling instantly detects changes in data access behavior, including access from new identities, access from undesirable locations including geography and unusual changes in how identities access data. Sonrai Dig will also detect if suspicious access is granted, before it is used.
Depending on the severity of the alert, Sonrai Dig can now either block all access to a store, block a specific identity from access, or temporarily downgrade access privileges for a specific identity.