Skip to content

Data Loss Prevention

DLP Isn’t The Answer

Learn about data protection that solves the problem.

Why traditional data protection tools fall short

Data loss prevention (DLP) tools utilize classification and policies (aka “rules”) to identify sensitive data, trigger alerts and block file activities. With DLP, the system is 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: 69% of organizations with a DLP still experience an insider data breach.

Instead, Code42 Incydr™ offers a risk-based approach for security leaders to consider when determining how to reduce data loss through their data protection strategy.

DLPCode42 Incydr
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

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