Learn the process
OTegrity learns the normal ranges, rates, timing, and cross-tag relationships of your live process — building a behavioral picture of how it actually runs, without prebuilt models.
OTegrity learns how your industrial process normally behaves and monitors it continuously. By analyzing values, rates, timing, and relationships across tags, it identifies when the process is no longer behaving correctly — and helps your team understand why.
From abnormal behavior to a confident decision — automatically, with no prebuilt models and no per-site tuning.
OTegrity learns the normal ranges, rates, timing, and cross-tag relationships of your live process — building a behavioral picture of how it actually runs, without prebuilt models.
It validates ongoing behavior continuously, watching the physical process itself rather than only network traffic or asset inventories.
When behavior changes, OTegrity classifies the likely cause — equipment fault, sensor failure, process drift, or cyber manipulation — instead of just flagging a symptom.
Each finding carries evidence, affected tags, and a recommended next step, so operations and security teams act from the same source of truth.
Learns values, rates of change, timing, and relationships across tags to understand how the process behaves as a whole — not one signal at a time.
Determines whether abnormal behavior looks like an equipment fault, a sensor failure, process drift, or cyber-induced manipulation.
Confirms whether suspicious digital activity actually changed the physical process — so security teams prioritize real impact, not noise.
Turns abnormal behavior into clear operational guidance — what likely changed, where to look, and what to do next.
Every finding snapshots the surrounding process window, so teams can reconstruct exactly what happened and act with confidence.
Broad industrial-protocol coverage on the way in; shares findings out via Syslog/CEF and REST API to your SOC and SIEM.
Operating modes, sensor behavior, discovered physical rules, and what it watches for — in plain language, not a black box.
Network detection and asset visibility watch the OT network — Levels 2–3 — but have no view inside the controller or the process beneath it. OTegrity completes defense-in-depth by owning Level 0/1: the PLC's real behavior and the physical process itself.
Little to no coverage — barely reaches business systems, and not enterprise IT.
Network detection (NDR), asset inventory, and traffic analysis — watches protocols, assets, and east-west traffic between devices on the OT network.
Network tools watch traffic between devices. They can't see what the controller is actually executing, or whether the physical process is behaving.
Fuses verified control-system integrity with live process behavior — watching both what the system is and what it's doing, down at the process the layers above can't reach.
Defense in depth: comprehensive OT protection needs visibility from the enterprise all the way down to the process.
OTegrity gives you trusted visibility into the physical process: the layer most OT stacks can't truly validate. It fits your environment without a heavy project.
Validates the outcome directly — not inferred from traffic or controller changes.
OTegrity collects read-only telemetry from controllers via native industrial protocols, runs detection on-premises, and dispatches enriched findings to the SOC and security tools you already operate. No cloud dependency, no inbound listening ports on the detection engines.
Data flows up only. The detection engine has no listening port; engines initiate outbound WebSocket connections to the console — matching Purdue-aligned unidirectional data-flow practice.
OTegrity is one layer in your stack — designed to interoperate, not replace. Built on widely-adopted industry standards on every external interface; bidirectional integrations with the OT asset-visibility platforms your team is most likely to already operate.
A summary of what the platform supports today. Detailed compatibility matrices are available on request.
| Capability | Detail |
|---|---|
| Industrial protocols | Modbus TCP · OPC UA · EtherNet/IP · Allen-Bradley PCCC · Siemens S7 · Omron FINS · BACnet/IP · MQTT · Sparkplug B · REST / HTTP · DNP3 · CODESYS V3 |
| Controller families | Rockwell ControlLogix / CompactLogix / PLC-5 / SLC-500 / MicroLogix / Micro800 · Siemens S7-300 / 400 / 1200 / 1500 · Modbus TCP devices (Schneider Modicon and others) · Omron CJ / CS / NJ / NX · CODESYS V3 controllers (WAGO, Beckhoff, ABB, Eaton, IFM, and others) · DNP3 RTUs · BACnet/IP building controllers |
| Detection algorithms | 20 self-calibrating algorithms (behavioral baseline, causal graph, rate-of-change, spectral, temporal invariants, HMM mode detection, fingerprint, change-point, autoencoder, DAG, value shift, histogram density, drift, isolation forest, matrix profile, string novelty, string rate, TCN, learned process invariants, operator rules) |
| Classification classes | 7 — Normal · Anomaly · Equipment Fault · Configuration Error · Environmental · Unauthorized Change · Cyber Attack |
| Threat-intel enrichment | MITRE ATT&CK for ICS technique & tactic IDs on every alert · CVE enrichment via Claroty xDome · Now/Next/Never priority via Dragos · risk scores via Armis & Nozomi |
| Deployment | Software or hardware appliance · on-premises · air-gap friendly (no required cloud connectivity) |
| Access model | Strictly read-only · no write paths to PLCs or actuators · outbound-only network posture on detection engines |
| Management Console | Role-based access control (5 roles) · OIDC SSO · LDAP / AD · TOTP 2FA · SHA-256 hash-chained audit trail · multi-engine aggregation · HA peer |
| Reporting | Compliance templates: NIST SP 800-82 · IEC 62443 · NERC CIP · MITRE ATT&CK for ICS · CISA Zero Trust for OT · DoW Zero Trust for OT |
| Output channels | Syslog (CEF) · REST API · WebSocket (JSON-RPC 2.0) · Email · Webhook (HTTP POST) |
We'll walk through how OTegrity validates process behavior, diagnoses cause, and fits your operations and security workflows.