DLP isn't the answer.

Learn about data protection that solves the problem.

Learn more below

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.




Rules-based, compliance centric & limited visibility

Risk-based, data centric & comprehensive visibility


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


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


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


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


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

Insider Risk Management - A Better Way to Prevent Data Leaks thumbnail
Insider Risk Management: A Better Way to Prevent Data Leaks

Why an Insider Risk Management approach ensures organizations never compromise their speed of innovation nor the safety of their data.

Get the guide right arrow icon
The Whole Organization is Collaborating. Are You Blocking That?

What does the Insider Risk Management approach look like in practice? Take a look.

Read the blog right arrow icon
Snowflake case study promo image
Case Study

Mario Duarte, VP of Security at Snowflake, explains how his team used the Insider Risk Management Framework to build a modern data protection program.

Read the case study right arrow icon

Learn how Incydr protects business data

Speak with a security expert to see how Incydr allows you to detect and respond to data risk caused by those inside your organization.

Contact sales