Cyberhaven provides a data lineage technology that traces the flow of sensitive information across systems, enabling organizations to understand data movement and prevent unauthorized exfiltration. By combining data loss prevention, insider risk management, and cloud data security, Cyberhaven effectively mitigates insider threats and protects critical data in real-time.
Funding
$136.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ASFounders
Product
Problem
Traditional data security products struggle to keep pace with evolving work environments, leaving organizations vulnerable to data loss and insider threats. Existing solutions often lack comprehensive visibility into data movement and context, hindering effective risk mitigation and incident response.
Solution
Cyberhaven offers a data detection and response platform that leverages data lineage technology to trace the flow of sensitive information across systems, providing organizations with unprecedented visibility and control. By analyzing billions of events, Cyberhaven accurately classifies data based on its origin and maintains a continuous trace as it moves, enabling real-time protection against exfiltration attempts. The platform combines data loss prevention, insider risk management, and cloud data security functionalities into a unified solution, empowering security teams to detect and stop risky behavior, accelerate internal investigations, and prevent data breaches.
Target Audience
Cyberhaven is designed for security professionals and organizations seeking to enhance their data protection posture, mitigate insider threats, and ensure compliance with data privacy regulations.
Features
- Data lineage technology that traces data from its origin to provide context for accurate classification and protection.
- Real-time data exfiltration prevention across cloud, web, email, removable storage, and other channels.
- Behavioral analysis to detect and stop risky user behavior involving sensitive data.
- Accelerated incident investigations with a complete record of events before and during an incident.
- Integration of data loss prevention, insider risk management, and cloud data security into a single platform.