Detailed Information
DataSunrise is a Database & Data Security solution. DataSunrise provides a homogeneous database security experience across heterogeneous database environments on the cloud and on-premises. DataSunrise Data-Centric high-performance security software protects sensitive data in real time and helps organizations continuously comply with SOX, HIPAA, ISO 27001, PCI, and GDPR.
DataSunrise, the next generation of Data & Database Security, helps organizations protect databases and data (while securing sensitive business and confidential information) in the cloud (such as AWS, Azure, Google Cloud) or on-premises. It enables the protection and prevention of databases from internal and external attacks, such as SQL Injections. DataSunrise inspects database traffic at very high volumes while simultaneously monitoring and reporting all relevant activities in real time.
DataSunrise Security includes:
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An intelligent Database Firewall to secure, inspect, and monitor all requests to the database;
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Data Auditing and Database Activity Monitoring (DAM);
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Real-time Dynamic Data Masking (DDM) to protect and obscure data from unauthorized requests, as well as detect and prevent SQL injection;
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Static (or persistent) Masking to create fully functional, protected copies of production data;
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Sensitive Data Discovery and automated compliance to ensure adherence to HIPAA, ISO 27001, PCI, SOX, or GDPR security standards;
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Database Vulnerability Assessment.
DataSunrise can secure all major databases and data warehouses, both SQL and NoSQL: Oracle, MS SQL Server, DB2, Netezza, Amazon Redshift, Amazon Aurora and all RDS engines, Dynamo DB, Athena, S3, Azure Blob, Teradata, Greenplum, MySQL, MariaDB, PostgreSQL, Google Cloud SQL, SAP Hana, Vertica, MongoDB, Cassandra, Impala, Sybase, Snowflake, Neo4j, TiDB, YugaByte, Scylla, Hive, and CockroachDB.
DataSunrise integrates with SIEM solutions, such as RSA NetWitness, Splunk, HP ArcSight, and existing management systems and dashboards by providing captured data in real time, or it can be embedded.
