Automated Data Classification Software for Your Cloud and SaaS Environments

Data classification is the process of categorising data based on its sensitivity and business impact. It’s crucial because it helps organisations manage and protect their data more effectively, ensuring that sensitive information is appropriately secured and compliant with regulations like GDPR, HIPAA, and ISO 27001. With Metomic, you can automate data discovery and classification across your cloud and SaaS environments, making it easier to safeguard your data at scale.

Metomic leverages Data Loss Prevention (DLP) technology to automatically discover, classify, and label sensitive data across your cloud and SaaS platforms. By applying context-aware labels, Metomic helps you identify data that requires protection, ensuring compliance with industry standards. This automation reduces manual effort and enables your team to focus on more strategic tasks while maintaining a high level of data security.

Using Metomic for data classification enhances your organisation’s ability to meet regulatory requirements such as ISO 27001, GDPR, and HIPAA. By accurately tagging and managing data based on its classification, Metomic provides greater visibility and control over sensitive information. This helps prevent data breaches and reduces the risk of costly penalties associated with non-compliance.

Metomic offers robust tools for managing and updating data labels at scale. If data is misclassified or if its sensitivity level changes, Metomic allows you to quickly add, remove, or modify labels across your entire data environment. This ensures that your data classification strategy remains accurate and up-to-date, helping to protect your organisation against emerging risks and maintaining compliance with evolving regulations.

Businesses often classify their data into four levels: Public, Internal, Confidential, and Restricted/Highly Confidential.

• Public: Data intended for public dissemination with no significant risk if disclosed, like marketing materials and press releases.
• Internal: Data for internal use within the organisation, such as memos and operational procedures, where unauthorised access has minor impacts.
• Confidential: Sensitive data restricted to specific personnel, like employee records and financial data, where unauthorised access could cause significant harm.
• Restricted/Highly Confidential: The most sensitive data, including intellectual property and PII, where unauthorised access could result in severe damage to the organisation.