CyberSeQ provides a hybrid quantum‑classical cybersecurity platform that extends existing SIEM/SOAR environments with four interoperable modules: LogiQ for schema‑agnostic telemetry ingestion and correlation, Infralytics for automated compliance‑driven weakness mapping, RoboCTI for agentic threat‑intelligence enrichment, and Q‑SIEM for quantum‑machine‑learning detection. The solution delivers structured, prioritized alerts compatible with major security stacks, enabling enterprises to enhance threat detection and regulatory compliance without replacing their current tools.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations rely on traditional SIEM/SOAR solutions that struggle to detect sophisticated threats, map infrastructure weaknesses to evolving compliance frameworks, and integrate diverse telemetry sources without extensive re‑engineering.
Solution
CyberSeQ offers a hybrid quantum‑classical cybersecurity platform that augments existing SIEM/SOAR deployments with four interoperable modules: LogiQ for schema‑agnostic telemetry ingestion and correlation, Infralytics for compliance‑driven weakness identification, RoboCTI for agentic threat intelligence enrichment, and Q‑SIEM for quantum‑machine‑learning (QML) based detection. Each module can operate independently or as part of an end‑to‑end pipeline, delivering structured, prioritized alerts that feed directly into the customer’s security stack. The platform supports bring‑your‑own‑model (BYOM) or pre‑trained QML models across multiple algorithms and cybersecurity problem domains, enabling early‑access evaluation of quantum‑enhanced analytics while maintaining compatibility with legacy tools.
Target Audience
Primary customers are enterprise security operations centers, SOC teams, and organizations subject to regulatory compliance that seek to enhance their existing SIEM/SOAR capabilities with advanced detection and weakness mapping.
Features
- LogiQ: schema‑agnostic telemetry fabric that ingests logs, EDR, network, cloud, and OT data, correlates events, and outputs structured streams for downstream analysis
- Infralytics: automated mapping of infrastructure weaknesses to standards such as ISO 27001, NIS2, DORA, NIST CSF 2.0, and BSI IT‑Grundschutz, with auditable evidence trails per finding
- RoboCTI: agentic threat‑intelligence engine that enriches alerts with contextual intelligence and actionable recommendations
- Q‑SIEM: hybrid quantum‑classical analytics layer offering five evaluated QML algorithms across eleven cybersecurity domains, supporting both BYOM and vendor‑provided models
- Integrated data flow: seamless handoff between modules culminating in prioritized alerts compatible with major SIEM/SOAR platforms (e.g., Splunk, Microsoft Sentinel, Elastic, QRadar)
- Pilot‑ready deployment: pre‑configured pipelines that can be added to existing security stacks without replacing current SIEM infrastructure