DLP isn't the answer.

Learn about data protection that solves the problem.

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Why traditional DLP solutions fall short

Data loss prevention (DLP) tools utilize classification and policies (aka "rules") to identify sensitive data, trigger alerts and block file activities. But this makes the system 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. Instead, Code42 offers a risk-based approach for security leaders to consider when determining how to reduce data loss through their data protection strategy.

DLP

Code42

Approach

Rules-based, compliance centric & limited visibility

Risk-based, data centric & comprehensive visibility

Context

Classify data that matters: Anything that doesn't match policy is not logged or monitored

Full visibility into all file, vector and user activity across computers, cloud and email systems to accurately assess data exposure

Alignment

Manual rule creation and exceptions must be  defined for every data loss scenario

Filters out noise from trusted file activities or scenarios and aligns response tactics to the severity of the event

Intelligence

Creates excessive, and often false positive alerts, meaning risky events are lost in noise

Prioritizes the events and users that pose the greatest risk based on the combined severity of file, vector and user activity

Response

Can monitor and alert but highly focused on blocking file exfiltration

Orchestrates a combination of human and technical responses aligned to the severity of the event and situational context

Optimization

Exceptions and changing data sets require ongoing maintenance

Provides a company-wide view of data exposure to measure and improve risk posture

Employee Collaboration

Disrupts legitimate collaboration and encourages circumvention

Enables a secure collaboration that doesn’t compromise the speed of innovation nor the safety of data

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

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