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Data Loss Prevention

A New Way To Do DLP

Solve your data protection problem more easily and accurately.

Why traditional data protection tools
fall short

Classification- and policy-centric data loss prevention (DLP) tools that use rules to identify sensitive data, trigger alerts and block file activities are only as good as your rules:

  • Make rules too sensitive and you trigger false positive alerts that block legitimate work
  • Make rules too specific and high-value data slips past your defenses

The constant fine-tuning drains security time and money while damaging employee productivity. Ultimately, a rules-based approach provides a false sense of security for businesses: 76% of organizations with a DLP still have suffered from a data breach.

Instead, Code42 Incydr™ data protection offers a top rated, risk-based approach to reduce your data loss through our data protection strategy.

Traditional DLPCode42 Incydr Data Protection
ApproachRules-based, compliance-centric & limited visibilityRisk-based, data-centric & comprehensive visibility
ContextClassify data that matters: Anything that doesn’t match policy is not logged or monitoredFull visibility into all file, vector and user activity across computers, cloud and email systems to accurately assess data exposure
AlignmentManual rule creation and exceptions must be defined for every data loss scenarioFilters out noise from trusted file activities or scenarios and aligns response tactics to the severity of the event
IntelligenceCreates excessive, and often false positive alerts, meaning risky events are lost in noisePrioritizes the events and users that pose the greatest risk based on the combined severity of file, vector and user activity
ResponseCan monitor and alert but highly focused on blocking file exfiltrationOrchestrates a combination of human and technical responses aligned to the severity of the event and situational context
OptimizationExceptions and changing data sets require ongoing maintenanceProvides a company-wide view of data exposure to measure and improve risk posture
Employee CollaborationDisrupts legitimate collaboration and encourages circumventionBuilt to enable secure collaboration

JUST RELEASED

Gartner’s evolving take on DLP for modern data security

Gartner’s latest Market Guide for Data Loss Prevention 2023 makes it clear that data protection programs remain essential for security teams. But, they see a need for significant evolution in DLP solutions.

Download Report

Customer StorY

Traditional blocking didn’t cut it for MacDonald-Miller

“We have a lot of unstructured data, so relying on content inspection and classification is a losing game. How do you inspect or classify 3D files or engineering schematics? Code42’s approach to blocking works for us!”

Eddie Anderson, Security & IT Manager

Use Cases

Identify and respond to common data loss incidents

IP Theft

76% of companies have experienced IP loss. Stop your crown jewels from being stolen.

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Source Code Detection

Stop proprietary source code from landing in the hands of competitors by monitoring Git commands being pushed and pulled to untrusted repositories.

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Mergers & Acquisitions

Sensitive data leaks during highly regulated transitions like M&A can be particularly disastrous. Mitigate data loss during company transitions with proactive risk monitoring.

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Resources

There’s a better way for companies to protect data than DLP