HYVE Sentinel

AI-Powered Threat Detection

Multi-layer detection engine combining signature analysis, behavioral heuristics, and LLM-based threat classification. Correlates weak signals across events to surface complex attack chains human analysts miss.

Real-Time Event Ingest

BullMQ pipeline ingests endpoint telemetry, network events, and log streams with sub-second latency. Events are normalized, enriched with asset context, and scored before they reach an analyst.

Incident Correlation

Rule-based correlator maps individual events to MITRE ATT&CK tactics and techniques. Related events are grouped into incidents with root-cause chains, so analysts see the full attack story — not isolated alerts.

Risk Scoring Engine

Every incident and asset receives a dynamic risk score updated in real time as new evidence arrives. Composite scoring weighs asset criticality, technique severity, lateral movement indicators, and persistence signals.

Containment Center

One-click containment actions for assets under investigation. Isolation, network quarantine, and remediation workflows are tracked as audit-logged containment events with full chain-of-custody.

AI Narrative Engine

Each incident generates a plain-English narrative explaining what happened, why it matters, and what to do — written by the same AI that detected the threat. No more alert fatigue from raw SIEM output.

Live Command Center

WebSocket-powered dashboard streams new incidents, asset status changes, and queue metrics in real time. The command center gives SOC teams a unified tactical view without page refreshes.

Provider-Agnostic AI

Ollama (offline), OpenAI GPT-4o, and Anthropic Claude backed by a unified adapter. Run fully air-gapped with local models or switch to cloud inference per tenant — no code changes required.

Multi-Tenant SaaS

Windows Desktop Application

Enterprise Integrations

Advanced AI & Compliance