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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