The AI-native operations stack for IT and cybersecurity
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Normalize
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Load
ITMox, CyberMox, Norra and MoxDB combine to automate work across NOC, SOC, infrastructure, cloud, endpoint, application, identity and compliance.
IT and security run on separate stacks, and the gap costs you
NOC and SOC teams work from different tools, different data, and different agents, so incidents that span infrastructure and threats take longer to see and longer to fix.
Fragmented tool sprawl
Point tools for monitoring, SIEM, ITSM and XDR don't share context.
Slow correlated response
Cross-domain incidents require manual handoffs between NOC and SOC.
Staffing and skills strain
Scarce L2/L3 talent gets consumed by repetitive triage work.
From raw signal to autonomous action
Every incident travels the same closed loop through the stack — ingested, grounded, reasoned over, acted on, and learned from.
Ingest
Connectors & integrations pull metrics, logs, events, traces and config from every source — agentless or agent-based, streaming or batch, over open APIs and MCP.
Normalize
Extract, Normalize & Load transforms heterogeneous telemetry into a single, consistent operations schema the whole platform understands.
Ground
The Federated Ops Data Store (MoxDB) unifies time-series, logs, events, topology, vectors and metadata into one multi-model cluster every agent shares.
Reason
ML models correlate, enrich, reduce noise, detect anomalies and forecast; Gen-AI (RAG + LLMs) explains findings and answers in natural language.
Act
The DRL-based orchestrator selects and executes the best remediation within policy guardrails, RBAC and human approvals.
Learn
Outcomes flow back into the store and the reinforcement-learning models, so accuracy and automation improve with every incident.
Every layer of the architecture
A modular, model-agnostic stack — adopt one layer or all of them without ripping out what you already run.
Connectors & Integrations
Pre-built collectors for monitoring, SIEM, ITSM, cloud, EDR/XDR and identity — plus an MCP gateway so agents can call any tool you already own.
Federated Ops Data Store
MoxDB — a multi-model cluster combining time-series, document, vector and graph stores with metadata logs, giving every agent a shared, queryable memory.
Processing & Analytics (ML)
Streaming enrichment, correlation, noise reduction, anomaly detection and forecasting models turn raw telemetry into ranked, explainable signals.
Gen-AI Services
Retrieval-augmented generation, LLM-based chat, and auto-generated reports & dashboards — grounded in your own operational data, not the open internet.
Orchestration Engine (DRL)
A deep-reinforcement-learning orchestrator that plans, sequences and executes multi-step remediations — with policy guardrails and approval gates on every action.
Agent Layer — Norra
Role-scoped agents (L1 support, Linux admin, CloudOps and more) that reason over the stack and do the work — supervised, governed and fully audited.
Architected for the enterprise
Principles baked into every layer so the platform fits your environment, your governance and your scale.
Open & interoperable
Open APIs, webhooks and MCP mean the stack talks to your existing tools instead of replacing them.
Federated, not rip-and-replace
Data stays where it lives; the Ops Data Store federates context without forcing a migration.
Governed autonomy
RBAC, policy guardrails, approval workflows and immutable audit on every agent action.
Model-agnostic
Bring your own LLM or use ours; swap models per task without re-architecting the stack.
Elastic scale
Horizontally scalable, multi-tenant services that grow from a single team to a global NOC/SOC.
Secure & sovereign
Encryption everywhere, data-residency controls and post-quantum-ready cryptography.
Agentic AI needs more than a chatbot
Autonomy you can trust
Guardrails are part of the architecture, not an afterthought.
Deploys your way
The same architecture, delivered to fit your security and operating model.
Connects to your existing stack
Hundreds of connectors across the tools your NOC and SOC already run — no rip-and-replace.
Monitoring & Observability
SIEM & Log
ITSM & Ticketing
Cloud & Kubernetes
EDR / XDR & Security
Identity & ChatOps
What the architecture delivers
Outcomes teams see once the stack is running across NOC and SOC.
Why teams choose the AI-native stack
One platform for IT and cybersecurity operations means faster resolution, lower cost, and no rip-and-replace of your existing tools.
Faster mean time to resolution
Shared context across ITMox and CyberMox cuts triage and fix time.
Lower operating cost
Agentic automation reduces reliance on added headcount and tool licenses.
No rip-and-replace
Norra and MoxDB plug into your existing monitoring, SIEM and ITSM tools.
Governed autonomy
Every agent action is approved, role-scoped and fully audited.
The AI-native operations stack for IT and cybersecurity
See how the stack modernizes your operations.
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