Enable a comprehensive database security mechanism by seamlessly anonymizing sensitive data across your data landscape.
- Discover sensitive data with a patented approach using advanced algorithm-based mechanisms
- Identify 100% of enterprise-wide sensitive data, even in hard-to-find locations in structured and unstructured data stores, both on cloud and on-premise
- Locate all sensitive data with minimal false positives and no manual intervention
- Use advanced techniques such as Natural Language Processing (NLP) to classify sensitive data accurately with context based sensitive data discovery
- Configure from 80+ data elements available out-of-the-box covering all popular PII and PHI data, with the flexibility for additional data elements as needed
- Comprehensively de-identify sensitive data in production & non-production environments
- Deploy as required from among 70+ data anonymization algorithms including masking, encryption and tokenization
- Retain data usability while providing data security with advanced anonymization methods
- Select a database agent-based approach or agentless approach with no additional components
- Maintain referential integrity across the data landscape through consistent anonymization of sensitive data
- Continuously monitor databases and applications with no changes in application or database coding
- Benefit from the low overhead and cost-effective monitoring through Mage’s unique service architecture
- Gain a head start on preventing unauthorized activity and access with minimal resource usage and easy deployment
Database Security refers to the protection of business-critical sensitive data that resides within databases from external or internal threats that compromise the integrity of the data and the prevention of its misuse. In the recent past, with an increasing number of organisations embracing digital transformation, the possibilities of sensitive data exposure and the resulting financial losses have also seen an uptick. Securing the enterprise database is key to ensure compliance with applicable regulations and protect an organization’s reputation.
With the average cost of data breaches reaching upwards of $4 Million, just the financial ramifications of the exposure of sensitive data to unauthorized actors can be crippling for organizations. Encryption of sensitive data is also imperative for businesses in order to adhere to security and compliance regulations, as an increasing number of countries have already introduced or are in the process of introducing legislations on the same. The reputational damage that follows a sensitive data breach can also affect the business outlook and operations and hence sensitive data protection is a critical aspect of ensuring business continuity.
The growing variety of digital transformation projects managed by enterprises also leads to the complexity of IT infrastructure that is needed to support the increasing needs. To manage this, enterprises depend on various types of databases and data stores depending on their business requirements. The data within these databases vary across formats and the sensitivity of its nature. To discover and identify sensitive data wherever it is located and to protect this data by securing databases irrespective of its type or location, a good Database Security solution is critical for enterprises today.