Nelysis provides a platform for managing and monitoring robot challenges, likely within a testing or competitive environment. The service ensures secure site connections and requires browser cookies for full functionality. This setup facilitates structured interaction and data collection related to robotic systems.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations managing connected physical network assets face increasing threats that bridge IT, IoT, and OT environments. This convergence creates vulnerabilities that can disrupt operations, compromise data, and impact critical infrastructure.
Solution
Nelysis provides a Network Cyber Management (NCM) solution designed to ensure cybersecurity and operational continuity for connected physical network assets. The platform offers comprehensive visibility and protection across IT, IoT, and OT networks, enabling organizations to detect, isolate, and intercept cyber-physical threats. By leveraging its proprietary out-of-band architecture, Nelysis shields its own security systems from potential attackers, ensuring uninterrupted and secure operations. This approach helps maintain business resilience and safeguard critical infrastructure against a wide range of cyber-physical risks.
Target Audience
Nelysis targets organizations across various sectors, including critical infrastructure, smart cities, transportation, healthcare, and industrial facilities, that manage complex IT, IoT, and OT environments and require robust cybersecurity and operational resilience.
Features
- Device-agnostic, agentless monitoring for comprehensive, real-time visibility and control across IT, IoT, and OT networks.
- AI-enhanced insights and asset intelligence for in-depth risk profiling and threat isolation.
- Proprietary "out-of-band" technology that operates separately from the monitored network to prevent attackers from targeting the security system itself.
- Autonomous network mapping and scoring to optimize resource allocation and reduce operational costs.
- Deep packet inspection (DPI) for granular network traffic analysis at the packet level.
- Behavior analysis capabilities to detect anomalies and new threats not reliant on digital signatures.
- Asset mapping and classification based on logical and physical topologies, including manufacturer data and network parameters.
- Integration with existing third-party security systems and adherence to regulatory guidelines.
- Post-event analysis capabilities with storage of traffic information for forensic investigations.