Oracle Advanced Security
Oracle Advanced Security can be used to encrypt application tablespaces and prevent out-of band access to sensitive data. Redaction policies help to prevent sensitive data from being spread and ensure compliance with data protection regulations. Transparent Data Encryption prevents potential attackers from bypassing the database to read sensitive information directly from storage. This is done by enforcing data at rest encryption in the database layer. To protect sensitive data, you can encrypt individual data columns, entire tablesspaces, backups, and database exports. Data Redaction is an extension of TDE. It reduces the risk of data being exposed in applications by redacting sensitive information before it leaves the database. Redaction can be partial or complete to prevent large-scale extraction of sensitive information into spreadsheets and reports. Encryption is implemented at database kernel level, eliminating any need to make changes to applications.
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Oracle Data Masking and Subsetting
Due to increasing security threats and expanding privacy regulations, it is imperative to limit the exposure of sensitive data. Oracle Data Masking and Subsetting allows database customers to improve security, speed compliance, and lower IT costs. It sanitizes production data for testing, development, and any other activities and easily eliminates unnecessary data. Oracle Data Masking and Subsetting allows for entire copies or subsets to be extracted from the database and obfuscated. This data can then be shared with business partners. Assuring continuity of applications, the integrity of the database is maintained. Application Data Modeling automatically detects columns in Oracle Database tables that contain sensitive information using built-in discovery patterns like national identifiers, credit cards numbers, or other personally identifiable information. It automatically detects parent-child relationships in the database.
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Immuta
Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number.
Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse.
Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.
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ScaleGrid
ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported:
- MySQL
- PostgreSQL
- Redis™.
- MongoDB®, database
- Greenplum™ (coming soon)
ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.
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