Cyber 2.0 vs Hypergraph AI: Side-by-Side Comparison (2026)

Cyber 2.0: Prevents cyberattack spread across IT and OT/IoT environments. built by Cyber 2.0. Core capabilities include Prevents unauthorized commands and computers from reaching OT/ICS controllers, Operates without installing on or modifying controllers, Functions in air-gapped environments without relying on updates..

Hypergraph AI: GNN-based NDR platform for agentless threat detection across IT, IoT, and OT. built by Hypergraph AI. Core capabilities include Graph Neural Network (GNN)-based network topology modeling, 100% agentless deployment for IoT, OT, and legacy systems, Real-time NetFlow/IPFIX ingestion and analysis..

Both serve the Network Detection and Response market but differ in approach, feature depth, and target audience.

Cyber 2.0 differentiates with Prevents unauthorized commands and computers from reaching OT/ICS controllers, Operates without installing on or modifying controllers, Functions in air-gapped environments without relying on updates. Hypergraph AI differentiates with Graph Neural Network (GNN)-based network topology modeling, 100% agentless deployment for IoT, OT, and legacy systems, Real-time NetFlow/IPFIX ingestion and analysis.

Cyber 2.0 is developed by Cyber 2.0. Hypergraph AI is developed by Hypergraph AI. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Cyber 2.0 and Hypergraph AI serve similar Network Detection and Response use cases: both are Network Detection and Response tools, both cover NDR, IOT Security, SCADA. Review the feature comparison above to determine which fits your requirements.