Metomic
SaaS data security platform detecting & remediating sensitive data exposure.

Metomic Description
Metomic is an enterprise data security platform designed to protect sensitive data across SaaS applications and generative AI tools. It scans connected platforms to detect personally identifiable information (PII), protected health information (PHI), secrets, and other sensitive data types across files, messages, tickets, and documents. Key capabilities include: **Data Discovery & Classification** Automatically identifies sensitive data across integrated SaaS environments. Supports custom classifiers to target specific data types relevant to an organization's risk profile. **Risk Prioritization** Uses an AI-powered Risk Score to triage findings. Provides asset-level search and filtering, as well as employee and department-level analysis to surface the highest-priority exposures. **Automated Remediation & Policy Enforcement** Enables automated security policies including data redaction with configurable retention periods, access control management, and labeling/tagging of documents, tickets, and messages. **Employee Notifications & Self-Remediation** Sends real-time notifications to employees when they violate data policies, allowing them to self-remediate issues without requiring direct intervention from the security team. This is intended to foster a broader culture of data security awareness.
Metomic FAQ
Common questions about Metomic including features, pricing, alternatives, and user reviews.
Metomic is SaaS data security platform detecting & remediating sensitive data exposure. developed by Metomic. It is a Data Protection solution designed to help security teams with PII, Sensitive Data, Security Policy.
ALTERNATIVES
Data security platform for discovering, analyzing, and remediating sensitive data
DSPM solution for Kubernetes & AWS environments with real-time data discovery
Automates data security & privacy across multi-cloud, on-prem & 3rd-party systems
Discovers sensitive PII/PHI/PCI data across on-prem, cloud, and shadow IT.
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