We questioned every assumption and built a DLP solution from the ground up to protect data in a better way.
Traditional data loss prevention tools fail to protect important data, block normal activity, and use outdated technology that makes life painful for administrators and end users.
Relying entirely on content analysis, DLP tools don’t accurately identify important data. They also generate false positive alerts that waste the time of analysts.
Because false positives block users from doing their work, the prevention features of DLP tools often aren’t turned on. Their outdated technology also slows down computers and breaks cloud apps.
Security teams need to invest a lot of time and resources fine tuning DLP content policies to reduce false positives. Older DLP tools also require on-premises software and databases.
We identify important data that traditional DLP tools can’t and protect that data across all exfiltration channels with one product and one policy.
We combine content analysis with data lineage – where the data originated, where it’s been, and who’s handled it – to better identify what data is important and what’s not. Our approach minimizes false positives created by common content patterns such as phone numbers and emails.
Important data often contains no recognizable content pattern, and sometimes no text at all. Data lineage helps us identify what other tools miss including:
Download the Cyberhaven Data Loss Prevention datasheet to get a complete list of product capabilities.
"False positives have been the gating factor for our data protection policies and every one of them makes users angry and creates extra work for our team. Cyberhaven has changed that completely with blocking that is accurate and reliable, and we have a built-in trace of every event so we can validate each decision."
“Staying ahead of the competition means guarding against insider threats. Cyberhaven gives us visibility into how data flows within our company and stops insider threats in real time.”
“The key challenge with insider threat tools is that they alert you to threats but don’t stop them. And they don’t detect actual threats, many of their alerts turn out to be false positives. Cyberhaven can take action to stop data exfiltration while an insider threat is happening.”
Cyberhaven prevents data in your extended enterprise from leaving your control with a single policy framework that applies everywhere your data goes.
When data is at risk of being exfiltrated, instantly take action and surface a message to the user educating them on company policy and acceptable behavior. An educated employee base leads to 80% fewer incidents and reduced risk to data over time.
Cyberhaven provides an incident response view tracing every step and action related to a piece of data leading up to an incident, including who handled it and how it moved throughout the organization so analysts can investigate and resolve incidents faster.
Cyberhaven data lineage makes it possible to define incredibly simple policies and get better results with fewer false positives than policies based on content analysis alone.
Create and edit policies using a visual builder with built-in Boolean logic and auto-complete that pulls in historical source and destination applications, URLs, devices, user groups, and more. You can also convert any graph query to a policy in one click.
Cyberhaven maintains a complete record of every user action for every piece of data. When editing a policy, you can see how it would apply to historical data to quickly make any adjustments without deploying it in production and waiting weeks for results.
Cyberhaven tracks what type of data was encrypted or compressed, so even after the data itself cannot be scanned you can track it and protect it from exfiltration.
Cyberhaven’s service is delivered from the cloud, so there are no databases or application servers to manage.
When we set out to redefine DLP, we included the standard features you expect.
Get started quickly with dozens of out of the box policies for common use cases and industry-specific requirements.
Includes content identifiers for common PII, PCI, and PHI patterns, standard keyword lists, or create your own identifier with custom RegEx.
Recognizes labels that classification products such as Microsoft AIP apply to files and supports labels in Cyberhaven policies.
Extracts text content in image files and PDFs and supports use of this data in content-based policies.
Incidents for content-based policies include a highlighted excerpt showing what triggered the policy. These matches are stored in the customer’s cloud.
Optionally record the user’s screen in the seconds leading up to an incident. Screenshots are stored in the customer’s cloud.
Integrates with on-premises and cloud-based directory services to support granular user group and department based policies.
Includes out-of-the box dashboards and a fully customizable reporting engine for advanced analytics.
Natively integrates to SIEM tools such as Splunk and exposes incidents through an API so you can add them to any third-party security tool.
Includes standard out-of-the-box roles or create your own custom roles with any combination of permissions.
Cyberhaven is more than a modern DLP solution, it’s a new approach to protecting data from insider threats and accidental exposure we call Data Detection and Response.
Cyberhaven combines the data analysis of a DLP solution with the behavioral analysis of an insider threat solution in one product to better detect threats.
We capture every user action related to every piece of data so you can perform a post-incident forensic investigation without needing physical possession of a device.
Cyberhaven identifies the data that employees bring into your company so you can minimize legal risk of IP from other firms or supply chain risk of open source code.
The best way to understand the magic of Cyberhaven is to see a live product demo.
