SeverusPRO ingests global cybersecurity telemetry, normalizes it to structured JSON, correlates with CTI via RAG, detects behaviors aligned to ATT&CK, and executes audited playbooks—entirely on-prem. Local-first LLMs, strict JSON contracts, optional delta enrichment off by default.
SeverusPRO doesn't just augment your existing security stack—it fundamentally replaces both SIEM and SOAR with a unified, AI-driven platform that maintains complete data sovereignty.
Pull logs and events from any source; convert to time-stamped, provenance-rich normalized security event JSON with metadata filters. Phase-1 processors handle complex normalization with schema validation.
RAG over your telemetry plus CTI (CVE/ATT&CK mapping) to explain, cluster, and score detections. Advanced correlation reduces false positives by 80% through contextual analysis.
Low-latency retrieval over vector indexes (Qdrant) with API/Chat/Dashboard front-ends. Sub-second query response times across terabytes of security data.
Push actions to playbooks with approvals (Slack/Teams) and ticketing—replacing SOAR completely. Phase-3 integration with Tracecat/YARA/Ansible provides enterprise-grade orchestration.
SeverusPRO's universal ingestion engine connects to every major security data source, normalizing disparate formats into a unified schema for consistent analysis and automation.
The roadmap follows a phased approach: Phase-1 OSINT integration, Phase-2 telemetry ingestion, and Phase-3 SOAR capabilities with full orchestration.
Multi-format security logs and alerts from diverse sources arrive in real-time streams.
Schema-driven processors convert raw data into structured JSON with timestamp, source, and confidence metadata.
Qdrant stores normalized events with semantic embeddings for rapid retrieval and correlation analysis.
Strict output schemas with ATT&CK/CVE references enable reliable automation and downstream processing.
Every event maintains complete provenance tracking from ingestion through analysis, ensuring auditability and compliance. The normalized JSON schema includes timestamps, source attribution, confidence scoring, and standardized field mappings that enable consistent query patterns across all data sources.
SeverusPRO transforms noisy, disparate security alerts into actionable intelligence through advanced correlation and contextual analysis. Our RAG-based approach combines your telemetry with threat intelligence to provide clear, cited explanations of attack patterns.
Traditional SIEMs generate thousands of disconnected alerts daily. SeverusPRO correlates these signals using specialized security embeddings and ATT&CK framework mapping, delivering consolidated detections with root cause narratives and recommended response actions.
The system maintains context across time windows and attack chains, enabling detection of sophisticated threats that span hours or days. All correlations include actionable recommendations aligned with your existing security tools and processes.

SeverusPRO's orchestration engine replaces traditional SOAR platforms with intelligent, audited automation that respects human oversight requirements while enabling rapid response at scale.
AI analyzes detection context and generates structured playbook_action JSON with specific remediation steps, risk assessment, and rollback procedures.
Critical actions trigger approval requests via Slack/Teams with full context, impact assessment, and one-click approval/denial with audit logging.
Approved actions execute through Tracecat/YARA/Ansible integration with real-time status monitoring and automatic rollback on failure conditions.
Every action, approval, and outcome is logged to immutable storage with ticketing system updates (Jira/ServiceNow) and compliance reporting.
Security teams access SeverusPRO through three integrated interfaces designed for different operational needs and skill levels.
All interfaces return structured JSON outputs ready for downstream automation, ensuring consistency across investigation workflows and enabling seamless integration with existing security tools.

The console provides unified access to historical and real-time security data with sub-second query response times. Advanced filtering, correlation views, and investigation workflows support both reactive incident response and proactive threat hunting activities.
Case notes, investigation timelines, and collaborative annotations integrate directly with your existing ticketing systems, maintaining workflow continuity while enhancing analysis capabilities through AI-powered insights and automated evidence collection.
Query processing and correlation analysis complete within 2 seconds for 95th percentile of requests, enabling real-time threat response workflows.
Normalized output maintains strict schema compliance for reliable automation integration and downstream processing consistency.
Semantic search and correlation accuracy measured against curated test sets with continuous model refinement and validation.
Target analyst productivity improvement through automated correlation, investigation assistance, and streamlined response workflows.
SeverusPRO's phased migration approach minimizes operational disruption while ensuring complete validation of capabilities before committing to the new platform.
Ingest from existing SIEM in parallel operation. Validate normalized JSON accuracy and run shadow detections for baseline comparison. Zero operational impact on existing workflows.
Transition dashboards, detections, and automations to SeverusPRO while maintaining legacy systems for archival access. Gradual workflow migration with continuous validation.
Decommission legacy SIEM/SOAR systems with SeverusPRO as the system of record. Complete data migration and final validation of all operational requirements.
This structured approach follows proven enterprise migration patterns with clear success criteria at each phase. Rollback procedures are maintained throughout the transition period to ensure business continuity.
SeverusPRO prioritizes data sovereignty and compliance through architecture designed for complete on-premises operation with optional, controlled external enrichment capabilities.
Ollama-based LLM deployment ensures all AI processing occurs on your infrastructure with no default data exfiltration or cloud dependencies.
Mistral integration for non-sensitive prompts only, disabled by default, with full audit trails and granular control over data sharing boundaries.
Every query, action, and system interaction logged to tamper-proof storage with role-based access controls and compliance reporting capabilities.

Role-based access control (RBAC) ensures appropriate data access levels across your organization. Immutable audit trails support SOC 2, ISO 27001, and other compliance frameworks while maintaining complete visibility into system usage and security posture.
Docker-Compose deployment with Qdrant vector database and Ollama LLM runtime. CPU-only operation viable with GPU acceleration optional for enhanced performance.
Complete offline deployment capability with pre-trained model imports and zero external dependencies for maximum security environments.
Maximum 135W power consumption with 75% lower energy usage compared to traditional SIEM infrastructure, eliminating additional cooling requirements.
SeverusPRO correlates 847 repetitive EDR alerts, Zeek beacon detections, and OSINT IP reputation data into a single high-confidence case. Root cause analysis reveals APT lateral movement with automated containment recommendations, reducing investigation time from 6 hours to 20 minutes.
O365 anomalous login patterns trigger correlation with Duo device fingerprinting and ATT&CK T1078 mapping. System auto-drafts account disable and conditional token reset actions, routes through Slack approval, executes via playbook, and updates ServiceNow ticket with complete audit trail.
A1-confidence malicious IP detection triggers automated blocklist update across network perimeters. Playbook executes firewall rules, DNS sinkhole configuration, and proxy blocks with automated rollback procedures, completing full network protection in under 30 seconds.
Yes, absolutely. SeverusPRO provides complete SIEM and SOAR replacement capabilities through universal telemetry ingestion (Elastic/Splunk/QRadar, Sysmon/Wazuh, EDR/XDR, Zeek), normalization to strict JSON schemas, advanced correlation with CTI, and full orchestration of audited playbooks. The platform handles the complete security operations workflow from ingestion through response.
Critical security actions trigger approval workflows through Slack/Teams integration with complete context, impact assessment, and risk analysis. Approvers receive structured requests with one-click approval/denial capabilities. All decisions are logged to immutable audit storage with timestamp, approver identity, and rationale for compliance and forensic purposes.
SeverusPRO operates 100% on-premises by default with local-first AI models via Ollama. Optional delta enrichment through Mistral is disabled by default and processes only non-sensitive prompts when enabled. All external interactions are fully logged with granular control over data boundaries, supporting SOC 2, ISO 27001, and regulatory compliance requirements.
Our proven 90-day migration follows Mirror → Primary → Retire phases. We begin with parallel operation for validation, gradually transition workflows while maintaining legacy access, then complete retirement with SeverusPRO as system of record. Rollback procedures ensure business continuity throughout the transition.
Transform your security operations with SeverusPRO's sovereign AI platform. Get hands-on validation of our SIEM and SOAR replacement capabilities through our structured pilot program.
Join leading enterprises who've achieved 75% reduction in alert fatigue, 80% faster incident response, and complete data sovereignty with SeverusPRO's unified security operations platform.
Replace your SIEM & SOAR with a Sovereign AI Data Plane