Metomic

What is Metomic?

Metomic is a next-generation data security and data loss prevention (DLP) solution tailored for cloud-based work environments and SaaS ecosystems. It provides organizations with clear visibility into sensitive data stored and shared across platforms like Slack, Google Drive, and other collaborative tools. Metomic automates the discovery and classification of sensitive data, enabling security teams to enforce policies, manage risks, and maintain compliance without disrupting workflows. Its flexible, agentless architecture supports real-time monitoring, automated workflows, and user notifications to prevent data leaks and unauthorized access.

Key Features

• Automated Sensitive Data Discovery

  Automatically detects and classifies sensitive information such as PII, PHI, and secrets across multiple SaaS applications.

• Real-Time Monitoring and Alerts

  Continuously monitors data interactions with instant alerts and remediation actions to prevent data exposure.

• Flexible Workflows and One-Off Actions

  Enables customizable automated and manual controls on sensitive data assets to reduce alert fatigue and streamline security operations.

• Granular Access Controls

  Implements precise permissions to restrict access and sharing of sensitive data within SaaS environments.

• Data Classification and Compliance

  Supports advanced data classification and tagging to help organizations meet regulatory requirements like GDPR, HIPAA, and ISO27001.

• User-Centric Notifications

  Engages employees with contextual alerts to foster a proactive human firewall and improve data handling practices.

Use Cases

• SaaS Data Security : Protect sensitive data across popular SaaS platforms such as Slack, Google Drive, Jira, and Salesforce.
• Regulatory Compliance : Helps organizations in regulated industries automate compliance with data protection laws including HIPAA, GDPR, and CCPA.
• Insider Risk Management : Detects and prevents accidental or intentional data leaks caused by human error or malicious activity.
• Collaborative Work Environment Protection : Secures data sharing in remote and distributed teams without disrupting productivity.
• AI Data Protection : Monitors and controls sensitive data interactions with AI tools to prevent leakage during AI-driven workflows.

FAQs