Data and IP protection for technology and software
For technology firms, the IP is the business. Source code, launch plans, pricing schedules, and customer data are constantly sought by competitors, nation-states, or even casually interested fans. At the same time, innovative companies need to be nimble, productive, and easy to work with.
Cyberhaven lets technology firms of all types protect their assets reliably, efficiently, and without the employee friction and false positives that traditional DLP is known for. Critical data of all types is automatically classified without the need for tagging. Risks are automatically uncovered, and users can be redirected or coached in real time to instill safe behaviors without disrupting work.
Problems we solve
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Automatically find sensitive data and source code.
Instead of relying on pattern matching or having staff manually tag content, Cyberhaven automatically finds intellectual property, trade secrets, and risk even when staff don’t know where to look.
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Find risk and audit across the lifecycle of your data.
Audit the who, how, and when every time data is shared. Cyberhaven automatically finds risky behaviors such as source code being moved to a USB drive.
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Protect data while educating your employees.
Gain simple yet fine-grained control over how data is protected. Cyberhaven enables teams to safeguard data without adding friction to valid work because being nimble means sometimes flexing corporate policies.
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Sample data flow
The scenario
Emma had just joined the company as an engineering manager, and she loved using Google Docs for easy collaboration. She copied engineering materials from the company’s Confluence repository to Google Docs, and her team quickly adopted the platform too — without the security team knowing about it. Shane, a member of Emma’s team with a grudge against the company, decided to leak this information — he took the documents from Google Docs and uploaded them to a personal iCloud account.
Cyberhaven solution
Cyberhaven detected exfiltration of product design docs to personal cloud storage. Cyberhaven traced data as it was copied from Confluence to Google Docs, edited, and downloaded by Shane. When Shane tried uploading it to his personal iCloud account, Cyberhaven knew the files contained data from product design docs in Confluence and raised an alarm.