Next DLP provides a data loss protection solution that utilizes machine learning and artificial intelligence to detect insider threats and manage data protection across both managed and unmanaged devices. The platform enables real-time employee coaching and offers complete visibility of data flow, significantly reducing the time required to identify and respond to potential data breaches.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing risks from insider threats and data leaks, especially with the proliferation of unmanaged devices and cloud applications. Traditional data loss prevention (DLP) solutions often require extensive manual configuration and struggle to adapt to evolving data flows, leading to delayed detection and response times.
Solution
Next DLP's Reveal platform provides data loss prevention and insider risk management by monitoring data flow across managed and unmanaged devices. The platform uses machine learning and artificial intelligence to detect anomalous activity sequences relative to peer groups, assigning risk scores to potential insider threats. By providing complete visibility of data flow, from endpoints to the cloud, Reveal contextualizes detections to accelerate investigations and reduce the time to contain and respond to threats. Real-time employee coaching is provided when handling sensitive data and intellectual property.
Target Audience
The primary target audience includes security teams and IT professionals at organizations of all sizes seeking to protect sensitive data and mitigate insider risks.
Features
- Data protection controls across managed and unmanaged devices
- Real-time employee coaching when handling sensitive data
- Machine learning and AI to detect insider threats and risk score anomalous activity
- Complete visibility of data flow, from endpoints to the cloud
- Contextualized detections to reduce time to contain and respond to threats
- Tracks the "What, Where, Who, and How" of data’s origin, movements and modifications