A fully integrated endpoint detection and response solution
RSA NetWitness Endpoint is a core product offering within the RSA NetWitness Platform that provides continuous monitoring of endpoints. Instead of signatures or rules, the platform leverages continuous behavioral monitoring and advanced machine learning to dive deeper into endpoints better and identify zero-day, hidden, and non-malware attacks that other solutions may miss.Empowering Security Teams and Accelerating Investigations
The platform continuously monitors endpoints to detect anomalies and gathers all forensic data needed for incident response and investigations.
Reduces Dwell Time
RSA NetWitness Endpoint prioritizes threats for security teams to minimize attacker dwell time and improve analysts' time-to-response.
Detects All Endpoint Threats
The endpoint software is able to identify known, unknown, targeted, and non-malware threats that other signature- and perimeter-based solutions miss. It provides real-time visibility into all of an organization’s endpoints—on and off the network.
Highlights Full Attack Scope
RSA NetWitness Endpoint is integrated with the larger platform to facilitate correlation of threat data across multiple inputs (including logs and packets), contain affected endpoints, and eradicate threats across the entire organization.
RSA NetWitness Endpoint Solution Overview
Continuous Endpoint Monitoring
Receive full visibility into all processes, events, and behavior on all endpoints including: servers, desktops, laptops, and virtual machines.
Rapid Data Collection
Collect inventories and profiles in minutes with no discernible impact on end-user productivity.
Scalable and Efficient
Scale your network from a hundred to a hundred thousand endpoints easily. All data storage and most analysis occur on their database, ensuring data integrity, and reducing endpoint impact.
Behavioral-based Detection with UEBA
The endpoint solution is able to determine "normal" endpoint behavior on your network. The platform will also detect deviations and score them based on potential threat level using user and entity behavior analytics (UEBA) monitoring and an advanced machine learning algorithm.