PRIVACY MANAGEMENT

Privacy management protects customer data through the continuous discovery and classification of data assets and sensitive data and automates the application of access policies to protect and control access.  Key capabilities include just-in-time access to data when needed through approval and self-service workflows, while meeting security and compliance requirements; fine-grained access controls across all databases, data warehouses, and data lakes from a single platform;  dynamic masking that obfuscates sensitive or confidential data including social security numbers, names, addresses, and phone numbers from unintended exposure; data filtering that restricts the records returned from queries based on the authorization context of the user; deep learning capabilities go beyond pattern matching or folder-based controls to protect against careless sharing, compromised users, or insider threats; data leak prevention for Generative AI, cloud, and insider threats; automated data classification; data in-use protection; quantum-proof encryption; continuous data security posture management, and ransomware-proof data protection.

While data can be protected with encryption when at rest or in transit, safeguarding sensitive data when it is being processed in memory during computation is a major data security threat aggravated by the increasing adoption of Big Data processing and AI/ML workloads.  For a data intensive and data critical organization, data-in-use protection solutions, such as confidential computing and fully homomorphic encryption, protect the most sensitive data.

A common challenge in applying data-in-use protection is the cost and resource demand for processing a massive amount of data. Therefore, automated data classification powered by artificial intelligence, is a solution that categorizes data efficiently. Classifying data based on business sensitivity and level of protection needs will help reduce the cost of data protection.