Detect and stop insider data loss, leaks, and exfiltration.
What it does
Monitors endpoint, cloud, and email file movements to track unsanctioned data exfiltration across modern work channels.
Prioritizes insider threat severity automatically based on user risk profiles, file sensitivity, and untrusted destination indicators.
Triggers automated containment workflows, microlearning training videos, or security analyst escalations.
Detects shadow AI usage and source code exposure across public GenAI tools and code repositories.
Why it works
Agent-based and API cloud monitoring delivers complete file movement visibility without requiring brittle rule management.
Context-driven AI scoring distinguishes between everyday legitimate employee collaboration and high-risk data theft.
Integrates directly with microlearning tools like Instructor to educate employees in real time upon policy violations.
Reduces response latency by executing automated containment actions via SOAR platforms and automated workflows.
Detect and stop insider data loss, leaks, and exfiltration.
Overview
Incydr (by Code42 / Mimecast) is a SaaS insider risk management and data loss prevention platform. It provides complete visibility into employee file movements across endpoints, cloud services, messaging apps, and web destinations without requiring complex block rules. Utilizing AI risk prioritization, Incydr correlates data, user, and destination context to detect file exposure, source code exfiltration, and unauthorized GenAI usage.
Founded year:2020
Founder:Matthew Dornquast, Brian Bispala, Mitch Coopet
Team size:100+
Popularity:500+ enterprise customers
HQ:Minneapolis, Minnesota, United States
Status:Active
Funding status:Acquired
Customer type:B2B
Funding:Acquired by Mimecast
Pricing:Enterprise
Tech stack:Python, Java, React, AWS, Docker, REST API
Platform:Web
Integrations:Splunk, Palo Alto Networks, Okta, Tines, ServiceNow, Sumo Logic, Microsoft 365, Google Workspace, Slack, Jira
What it does
Monitors endpoint, cloud, and email file movements to track unsanctioned data exfiltration across modern work channels.
Prioritizes insider threat severity automatically based on user risk profiles, file sensitivity, and untrusted destination indicators.
Triggers automated containment workflows, microlearning training videos, or security analyst escalations.
Detects shadow AI usage and source code exposure across public GenAI tools and code repositories.
Who it's for
Enterprise Security Teams
Chief Information Security Officers (CISOs)
Security Operations Analysts
IT Compliance Leaders
Why it works
Agent-based and API cloud monitoring delivers complete file movement visibility without requiring brittle rule management.
Context-driven AI scoring distinguishes between everyday legitimate employee collaboration and high-risk data theft.
Integrates directly with microlearning tools like Instructor to educate employees in real time upon policy violations.
Reduces response latency by executing automated containment actions via SOAR platforms and automated workflows.
Founder story
Incydr was launched in 2020 by Code42, a Minneapolis cybersecurity firm founded in 2001 by Matthew Dornquast, Brian Bispala, and Mitch Coopet. Developed under CEO Joe Payne to address corporate data theft during remote workforce shifts, Code42 pivoted fully into insider threat management with Incydr before being acquired by Mimecast in 2024.
Alternatives
Comparison overview
Uses non-blocking background monitoring to prioritize file movement context over hard endpoint blocks.