Data Security & Privacy

Rapid cloud expansion has introduced risks beyond those stemming from cybercrime. As a result, the concept of a perimeter-based security strategy no longer makes sense. Instead, organizations need to adopt a dynamic model where digital identity is used as the key method of protecting digital assets regardless of their location or how they are being accessed. Data in the wrong hands has severe implications that impacts the long-term brand reputation of an enterprise.

HCLTech’s modern & scalable solutions help our customers in adopting a centralized system for constant data monitoring and control, while minimizing the risk of sensitive data breaches and infiltration of customer privacy. Therefore, maximizing resiliency by enabling data masking and user authentication at every touchpoint. HCLTech provides 360-degree lifecycle capabilities to deliver a robust data security program that’s tailored for your digitization needs.

HCLTech’s data security and data privacy solutions act as a regulator and central orchestrator to help enterprises control all aspects of security and privacy, including current data security assessments, vulnerability identification, and real-time security gap mediation, while also ensuring an enterprise is compliant with privacy policies and regulations such as GDPR, CCPA, SHIELD Act, etc.

Powered by HCLTech Dynamic Cybersecurity framework, the data security governance model caters to the following solutions:

• Data discovery, classification mapping, lineage - Based on the compliance or risk driver, perform the discovery of sensitive business data across the enterprise, classify it and provide roadmap for protection of classified data
• Static & data masking - To protect the non-production environment and help comply with privacy regulations
• Data leak prevention & rights management - Using the DLP technologies put a barrier at network and email gateway to inspect every document leaving the enterprise, also monitor and prevent misuse of information at the end points.
• Data base activity monitoring - To monitor access to database at granular level and enforce additional access control, anomaly detection, threat detection, leak prevention etc. on database
• Unstructured data governance - To find the ownership of the documents lying across the fileshare and enforce access governance on them
• Encryption, key management tokenization - Tokenize using format preserving encryption the sensitive data and provide the original data only when user is authorized.