Own Data Company Ltd.

Idan Liani

Ariel Berkman

Shay Israel Michaeli

Idan Narotzki

Binyamin Joseph Schein

A method, including collecting, during a time period, characteristics of backup operations performed on information sources from a primary system to respective backups on a backup system and multiple restores in which one or more of the sources in the primary system are restored to a state of one of the backups, the restores having associated operations. Backup features are extracted from the characteristics for each backup, and for each given restore, restore features are extracted from the characteristics. training, based on the backup features and the restore features, a model is trained for classifying a given change to the information as including only valid or damaged information. Subsequent to the period, an additional backup is detected. Additional backup features are extracted from the additional backup, and the model is applied to the additional backup features. Finally, an alert is generated upon the model classifying the additional changes as damaged.

Automatic classification of data loss events

Methods, storage systems and computer program products implement embodiments of the present invention for data access that include identifying a set of tables in a database to be accessed by an application, and identifying first and second application programming interface (API) calls having different, respective access properties for accessing records in the tables via an API. Respective counts of the records in the tables are computed by a processor, and the set of tables are partitioned into first and second subsets responsively to the respective counts. The records in the first subset of the tables are accessed by having the application convey the first API call to the API, and the records in the second subset of the tables are accessed by having the application convey the second API call to the API.

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Ramat Gan, Israel

Idan Liani