Sovereign AI for Cyber-Defense
On-prem RAG + local LLMs that triage, investigate, and automate, without your SOC/SOAR data ever leaving your network.
How SeverusPRO Works
Collect
Ingest OSINT feeds, public cyber intelligence reports, private client documents, and security telemetry from multiple sources
Transform
Normalize all data into structured, timestamped JSON with complete provenance tracking and metadata filtering
Retrieve
Vector search via Qdrant with security-tuned embeddings like SecBERT to ground LLM responses in relevant context
Reason & Act
Local-first LLMs generate responses with citations and contract-valid JSON ready for SIEM/SOAR integration
For Internal Sensitive Data, the four-phase architecture ensures that sensitive security data never leaves your network while providing the analytical power of large language models. Each phase operates independently with clear data lineage and audit capabilities.
Human-in-the-loop approvals can be configured through Slack or Microsoft Teams integration, allowing security analysts to review and approve automated responses before execution. This approach balances automation efficiency with human oversight requirements common in regulated environments.
Proven Performance Metrics
Median Response Latency
Average query response time for threat intelligence lookups
JSON Validity Rate
Structured outputs validated for direct SIEM/SOAR automation
Retrieval Relevance
Accuracy rate on curated security intelligence datasets
Hours Saved Weekly
Average time reduction per security analyst through automation
These key performance indicators demonstrate SeverusPRO's impact on security operations efficiency. The sub-two-second response latency enables real-time threat investigation workflows that previously required manual research and correlation.
The 99% JSON validity rate ensures seamless integration with existing security orchestration platforms, eliminating the parsing errors common with natural language AI outputs. This reliability is critical for automated response workflows in production environments.
Retrieval relevance scores are measured against curated security intelligence datasets that reflect real-world threat scenarios. The 80% threshold ensures analysts receive contextually appropriate intelligence without information overload.
Industry-Specific Solutions
Aerospace & Defense
On-premises AI architecture designed for national security data handling requirements. Supports ITAR and classified information processing with air-gapped deployment options. Enables faster threat correlation while maintaining security clearance boundaries and operational security protocols.
Financial Services
Regulatory-grade controls and comprehensive auditability for PCI DSS, SOX, and Basel III compliance. Accelerates fraud detection and risk assessment while maintaining data residency requirements. Provides immutable audit trails for regulatory examination and compliance reporting.
Healthcare
Protected health information stays on-site with HIPAA-compliant processing workflows. Enables medical device security monitoring and patient data protection while supporting clinical research initiatives. Faster anomaly detection in medical IoT environments without compromising privacy.
Public Sector
Digital sovereignty policies implemented by design for government and municipal operations. Supports FedRAMP requirements and critical infrastructure protection mandates. Enhanced threat intelligence correlation for public safety and national security applications without external dependencies.
Research & Higher Education
Protect intellectual property while accelerating cybersecurity research and experimentation. Supports academic collaboration with industry partners while maintaining research data integrity. Enables faster publication of threat intelligence research with proper data attribution and provenance.
They trust our Technologies and Services…
Our Brands:
Sustainable High Performance
Energy-Efficient Design
SeverusPRO delivers enterprise-grade AI performance while consuming up to 75% less energy than comparable cloud-based solutions. The platform's maximum power draw of 135 watts enables deployment in standard office environments without additional cooling infrastructure.
Hybrid cooling technology eliminates the need for specialized HVAC systems common with traditional AI hardware. This approach reduces total cost of ownership while supporting organizations' environmental sustainability goals and renewable energy initiatives.
The energy efficiency stems from purpose-built Ryzen AI processors* optimized for inference workloads rather than training. Local processing eliminates network transmission energy costs while reducing latency and improving response times for time-critical security operations.
Energy Reduction
Lower power consumption vs equivalent cloud inference workloads
Maximum Draw
Peak power consumption under full operational load
Additional Cooling
No specialized HVAC requirements for deployment
* AMD Ryzenâ„¢ AI 9 HX 370 12 Cores / 24 Threads 80 TOPS Max. frequency 5.1 GHz 128GB RAM 2TB NVME SSD (Up to 12TB) 2x RJ45 2.5G LAN 1x USB4 + 1x OCuLink
Organizations pursuing ESG initiatives benefit from reduced scope 2 emissions through lower electricity consumption. The platform's design supports carbon-neutral data center operations and renewable energy integration.
Ready for renewable-powered deployments with grid-tie solar and battery backup systems. The low power profile enables off-grid operation for critical infrastructure protection and disaster recovery scenarios.
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