12 min
PPT-GNN: From Research to Real-World Security
10.38% improvement over state-of-the-art with practical deployment.
Read researchWe secure your Network with Graph Neural Networks - Autonomous SOC Platform
Winners of Wayra by Telefónica 2025!We secure your
Network
with Graph Neural Networks.
Hypergraph is the first Autonomous SOC built on a foundational AI model. "Trained Once, Deployed Everywhere" to eliminate L1 analyst fatigue and reduce time-to-value.
Our Mission
Transforming cyberattack detection into a proactive, intelligent, and contextual task.
The Technology
We didn't just wrap an LLM around a dashboard. Our research group at the Polytechnic University of Catalonia (UPC) leads the field in Graph Neural Networks applied to network analysis. For over 8 years, we've been developing a foundational model that deeply understands the structural nature of cybersecurity threats.
Proprietary GNN Core
Traditional AI looks at lists of logs (sequences). Hypergraph models your network as a topology. By analyzing the relationships (edges) between devices (nodes), we detect complex attack patterns that signature-based tools miss entirely.
Graph-based vs Linear
Trained Once, Deployed Everywhere
Our competitive moat. Unlike competitors requiring months of fine-tuning per client, our foundational model is pre-trained on massive datasets to understand the 'language' of network traffic. It generalizes instantly to your infrastructure.
< 30min Deployment
Contextual Precision
We don't just flag isolated anomalies. By understanding the semantic relationships between nodes, Hypergraph filters out noise, reducing false positives by significantly understanding the context of every connection.
Signal vs Noise
Traditional AIHypergraph
HIGH PRECISION
Identity Matches
Normal Behavior
Known IP
30mTime-to-ValueDown from 18 months
ZeroTouch SOCFully Automated L1 Analysis
100%AgentlessFor IoT, OT & Legacy
Autonomous Defense
Across All Sectors
From legacy industrial systems to modern cloud infrastructures, Hypergraph's agentless GNN engine brings context and automation where it's needed most.
Eliminating the L1 Analyst Bottleneck
Hypergraph isn't just a tool; it's an autonomous agent. It automates the entire Level 1 analysis tier by correlating network flows, proposing mitigation actions, and reducing false positives. Your team focuses on high-level strategy, while our GNN handles the noise.
Mid & Large Enterprise IT
Unified visibility for complex, hybrid networks. We process NetFlow/IPFIX and other network data in real-time to detect lateral movement and subtle anomalies across your entire corporate infrastructure.
Medical IoT Security
Critical care devices cannot accept agents. Hypergraph provides 100% agentless protection for MRI machines, infusion pumps, and patient monitors, detecting anomalous behavior without touching the device.
Industrial & Legacy OT
Securing the un-securable. Our solution protects legacy SCADA systems and industrial controllers that have operated for decades. No agents, no downtime, just pure network-level behavioral analysis.
ALERT_ID_9921CRITICAL
Anomalous Modbus command sequence detected.
Device: PLC_04
Confidence: 99%
Insights & Resources
Deep-dive into autonomous cybersecurity with our comprehensive guides and expert insights
Research
14 min
Foundation Models for Network Traffic
Graph-based approach enabling few-shot learning across networks.
Read research15 min
State of ML in Cybersecurity
Current breakthroughs and unsolved challenges in security ML.
Read researchComplete Guides
Latest Articles
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