2020 had enough blindspots; your DLP shouldn't add to them.
Data protection that doesn't suck.
More comprehensive data protection. Less maintenance.
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 risk through their data protection strategy.
DLP |
Code42 |
|
|---|---|---|
| Approach |
Rule-based approach |
Risk-based approach |
| Assessing Risk |
Categorize data that matters, meaning anything that circumvents the policies is not logged and monitored |
Visibility across file changes, vectors of exfiltration (including cloud applications), and user qualities and behaviors to assess data exposure |
| Signaling Risk |
Creates excessive and often false positive alerts, meaning risky events are lost in noise |
Uses high-fidelity signal to inform alerts and distinguish between trusted and untrusted activity |
| Prioritizing Risk |
Alert severity pre-defined, missing activity that is not logged or falls into an exception |
Insider Risk Indicators highlight the activities and characteristics that suggest data is particularly vulnerable compared to all other activity in the organization |
| Respond to Risk |
Blocks disallowed action and alerts, often disrupting legitimate employee collaboration and work |
Options for a right-sized response, from security awareness training, to incident documentation |
| Organizational Effect |
Users can’t get their jobs done and security is constantly stuck in maintenance mode, tuning and creating exceptions, while critical files like source code and customer lists continue to be exposed |
Effectively mitigate data exposure and exfiltration with insights and response, not disruption |
There's a better way for tech companies to protect data than DLP
Video
Product Overview
Watch how Code42 applies the risk-based approach with Incydr™ data risk detection and response.
Take a look at this case study to hear more how Dustin Fritz, Sr. Security Architect at UserTesting, uses Incydr instead of DLP to protect his company's intellectual property.
Code42 CEO Joe Payne speaks with Forrester Security and Risk VP and Principal Analyst, Dr. Chase Cunningham, about why DLP isn't made to protect data from today's cyber security threats.
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.
