JRC Capital Management’s high-frequency and algorithmic forex and derivatives trading operations represent a high-value cyber target due to their reliance on proprietary trading algorithms, real-time market data feeds, and automated execution systems.

As a BaFin-regulated investment house serving institutional and wealthy private clients, JRC faces unique cybersecurity challenges: (1) protecting intellectual property in their algorithmic trading models implemented in EasyLanguage/TradeStation; (2) ensuring continuous availability of their extensive financial market data assets (1.2TB of historical forex and derivatives tick data); and (3) maintaining operational resilience given their dependency on outsourced ICT infrastructure, which has previously been targeted by DDoS attacks that disrupted access to virtual machines.

Under DORA and MiFID II regulations, JRC must not only protect these assets but also demonstrate robust incident response capabilities for their BaFin supervisors and Bundesbank oversight.

This pilot implements CyberAId’s cybersecurity technologies to protect JRC’s complete trading operation lifecycle—from market data ingestion to algorithmic signal generation to client portfolio execution.

The implementation focuses on securing JRC’s core trading models, their extensive financial data repositories, and ensuring operational continuity through failover mechanisms aligned with their existing contingency measures (broker feeds, local caches, and TV/Bloomberg verification). By deploying these protective measures with minimal latency impact, the pilot demonstrates how quantitative trading firms can maintain cyber resilience while preserving their algorithmic performance edge.

Implements CyberAId-MONITOR enhanced with eBPF to detect unauthorized access or manipulation attempts of JRC’s proprietary trading algorithms. The system continuously monitors for suspicious activities targeting EasyLanguage code repositories, unusual pattern changes in model outputs, and potential intellectual property exfiltration. OLISTIC risk assessment engine provides real-time threat evaluation specifically tailored to algorithmic trading environments.

Deploys CyberAId’s real-time monitoring to ensure the reliability and integrity of JRC’s critical market data feeds. The system detects anomalies in data flow patterns, identifies potential feed manipulation, and automatically triggers JRC’s established fallback sequence (alternative service providers, broker data, local caches) when integrity issues are detected. Integration with JRC’s existing infrastructure enables coordinated responses with minimal operational disruption.

Utilizes CyberAId-LLM and CyberAId REPORT to automate the incident investigation and regulatory reporting process for BaFin and Bundesbank requirements. The system rapidly synthesizes forensic evidence, creates detailed audit trails of cybersecurity events affecting trading operations, and generates compliant documentation aligned with German and EU financial regulations.