Identify data assets and uncover personal and sensitive information within structured and unstructured data systems, whether they are on-premises or spread across multiple cloud environments.
Consolidate On-Premises, Hybrid, and Multi-Cloud Data Assets into a Unified Catalog.
Discover your data on cloud, email, apps, drives and databases
Define custom tags and map risks , classify in metadata
Assign Compliance tags like GDPR , CCPA to data types and generate compliance data
Cloud Data Discovery enables organizations to locate, identify, and classify data across various cloud environments. By automatically scanning and cataloging data assets, it ensures comprehensive visibility and helps in managing data effectively, reducing risks, and ensuring compliance. This process is essential for gaining insights, improving data governance, and protecting sensitive information in cloud infrastructures.
Structured Data Discovery is the process of identifying and mapping out structured data within an organization’s databases and systems. This approach helps organizations gain visibility into their data assets, ensuring proper management and compliance with regulatory requirements. By systematically uncovering and documenting structured data, businesses can enhance data security, streamline data operations, and leverage insights for better decision-making.
Email Data Discovery involves the systematic identification and analysis of data contained within email communications. This process helps organizations uncover critical information, such as sensitive content and important records, buried within email archives. Effective email data discovery is essential for compliance with data protection regulations, managing legal inquiries, and improving overall data governance. By thoroughly examining email data, organizations can better safeguard sensitive information, streamline data retrieval processes, and ensure that email communications are managed effectively.
End Point Data Discovery is a crucial process in modern data security strategies, enabling organizations to identify and classify sensitive data residing on endpoints such as laptops, desktops, mobile devices, and servers. This process helps uncover unstructured and structured data across distributed environments, including files, emails, cached content, and temporary files that may contain personal, financial, or confidential business information. By gaining visibility into where sensitive data resides and how it’s being accessed or shared, businesses can assess risks, enforce data protection policies, and ensure compliance with privacy regulations like GDPR, HIPAA, and others. End Point Data Discovery lays the foundation for robust data governance, helping prevent data leaks and unauthorized access at the device level.
Discovering known and unknown file extensions involves identifying and analyzing file types that are not immediately recognized by standard systems or software. This process is vital for managing and securing data, as unknown file extensions can potentially conceal malicious content or sensitive information. By systematically uncovering and understanding these obscure file extensions, organizations can better protect their systems from hidden threats, ensure proper handling of various file types, and enhance overall data security and management practices.
Data protection regulations such as the CCPA (California Consumer Privacy Act), GDPR (General Data Protection Regulation), and DPDP (Data Protection and Privacy Act) are designed to safeguard personal information and uphold privacy rights. The CCPA focuses on enhancing consumer privacy rights in California, while the GDPR sets stringent data protection standards across the European Union. The DPDP, specific to India, aims to establish a robust framework for data privacy and protection. Each regulation imposes requirements for data handling, consent, and breach notification, emphasizing the importance of compliance and data security in a global context, Data Discovery and Classification.