DLP is effective for only 1% of companies.
We have the other 99% covered.
Cyberhaven’s Dynamic Data Tracing technology is a transformative approach to preventing IP theft and other insider threats.
Data protection made simple, reliable, and accurate
Trace full data lineage
Automatically track and analyze the entire journey of your data from its creation through every user interaction.
Uncover risk automatically
Continuous risk assessment proactively finds unsafe behaviors and practices before they lead to a breach.
Enforce policies accurately
Full-context data tracing makes policies simpler and more effective with far fewer false positives and user disruptions.
Improve user behavior
In-context user education and coaching drives better behavior and adherence to security best practices.
We protect all your data, all of the time, anywhere it goes.
- We trace all your data
Equal protection for any type of data including all files, emails, cloud documents, and other unstructured data.
- Across every user action
Correlate every action affecting your data including sending, encrypting, copying/pasting, and more.
- Anywhere it goes
Consistent visibility across endpoints, file shares, USB drives, websites, and local and SaaS apps.
When data protection fails
Whether due to malicious actions or a moment of carelessness, data loss can have devastating financial and reputational impacts.
Insider theft of intellectual property from Waymo
Before leaving Waymo, a key self-driving car engineer took 9.7 GB of confidential files with highly valuable trade secrets, including blueprints, design files, and testing data.
- Waymo estimated the loss at $1.86 billion.
- Uber eventually agreed to pay $245 million.
Before leaving Waymo, a key self-driving car engineer took 9.7 GB of confidential files with highly valuable trade secrets, including blueprints, design files, and testing data.
- Waymo estimated the loss at $1.86 billion.
- Uber eventually agreed to pay $245 million.
Sinovel theft of critical wind-turbine trade secrets
Chinese firm Sinovel recruited an AMSC employee to steal proprietary data, including source code for the latest wind turbines.
- Breach cost AMSC over $1 billion in lost equity.
- AMSC was forced to cut more than half of its workforce.
Chinese firm Sinovel recruited an AMSC employee to steal proprietary data, including source code for the latest wind turbines.
- Breach cost AMSC over $1 billion in lost equity.
- AMSC was forced to cut more than half of its workforce.
Discover and Classify
Automatically classify sensitive data based on data origin, its creator, and content. Find data even if you didn’t know where to look.
Detect and Protect
Proactively find and mitigate risks whether due to malicious insiders, unsafe behavior, or simple user mistakes.
Audit and Investigate
Instantly see the complete lineage for any piece of data including every user, action, application, and location involved.
Educate and Enable
Train employees and reinforce strong security practices in the context of a user’s natural workflow while keeping them productive.
