CyberFuse provides a sovereign SOC AI platform that unifies SIEM, XDR, SOAR, NDR, and threat intelligence into a single workspace powered by its proprietary Security Language Model (Sec-LM). The platform deploys entirely within customer-controlled infrastructure, ensuring data, model weights, and inference remain in-jurisdiction for compliance with regulations like NCA, NESA, SDAIA, and GDPR. It claims to reduce mean time to respond by 85% and false positive alerts by 95%.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Government Technology
- Software Only
Funding
Founders
Product
Problem
Traditional SIEMs overwhelm security teams with thousands of daily alerts, while cloud-based AI security products route sensitive incident data through foreign large language models, violating data residency and sovereignty requirements in regulated sectors. This forces organizations to choose between operational efficiency and compliance, leaving critical infrastructure and government agencies exposed to threats that slip through the noise.
Solution
CyberFuse delivers a sovereign SOC AI platform that runs entirely inside customer-controlled infrastructure, eliminating cross-border data exposure. Its proprietary Security Language Model (Sec-LM) is purpose-built for cybersecurity, trained on security telemetry, threat intelligence, and compliance frameworks to natively understand attack patterns and defensive playbooks. The platform unifies SIEM, XDR, SOAR, NDR, and CTI into a single workspace where analysts can query the entire security stack in natural language and receive instant correlation and response. Autonomous SOC agents triage, investigate, and respond to threats across the full stack, while the AI correlation engine reduces false positives and surfaces only actionable threats.
Target Audience
Primary customers are governments, national CERTs, financial services, critical infrastructure operators, and regulated enterprises across the GCC and EU that require sovereign, compliant security operations.
Features
- Sec-LM, a purpose-built Security Language Model trained on security telemetry, threat intelligence, and compliance frameworks for native understanding of security context
- Sovereign deployment on-premises or in customer-controlled cloud tenants, keeping data, model weights, inference, and control within jurisdictional boundaries
- Autonomous SOC agents that automate triage, investigation, and response across the full security stack
- Natural language querying of the entire security stack with instant event correlation and response
- AI-powered correlation engine that reduces false positives by 95% and cuts mean time to respond by 85%
- Built-in compliance mapping and audit-ready reporting for NCA, NESA, SDAIA, ISO 27001, NIST CSF, and SOC 2
- Integrations with 50+ security tools including Microsoft Sentinel, MISP, and OpenSearch, plus an open API for custom integrations