AI-Powered Cybersecurity Command Center
ThreatMatrix AI is a proprietary cyber-security command center delivering real-time network threat detection and automated intelligence enrichment. Designed for government agencies, financial institutions, and telecom operators, it provides enterprise-grade protection with an immersive war-room interface that enables security teams to detect, investigate, and neutralize threats before they cause damage.

Rapid digitisation across emerging markets has outpaced local security tooling, leaving critical government and financial infrastructure reliant on prohibitively expensive global SIEM solutions that lack local context and language support.
A three-tier, event-driven architecture separating Capture, Intelligence, and Interaction bounded contexts. Python/Scapy ingests live traffic, a FastAPI Intelligence Engine runs an ensemble of three ML models in parallel, and a Next.js Command Center renders real-time maps and dashboards via WebSocket. Redis Pub/Sub decouples all tiers for independent scaling.
Real-time geospatial threat map with live alert ticker, metric cards, and global threat intelligence overlay.
Conversational LLM interface enabling natural-language threat investigation, briefing generation, and Amharic translation.
Parallel Isolation Forest, Random Forest, and Autoencoder inference with weighted composite scoring for zero-day and known-attack detection.
PCAP upload with packet inspection, flow reconstruction, and ML re-analysis for post-incident investigation.
Sub-200ms end-to-end latency from packet capture to analyst notification via WebSocket push.
Model registry with performance metrics, retraining controls, and drift monitoring.
Deploy ThreatMatrix AI for your organization, or let us customize it for your specific industry needs.






Every product in our studio started as a conversation. Tell us what you need, and we'll show you what's possible.