Top IoT Security Platforms in 2026: Armis, Nozomi, Claroty, Defender Compared
A 2026 comparison of IoT security platforms — Armis, Nozomi, Claroty, Defender for IoT, and Forescout — for product teams and CISOs.
IoT security platforms are not interchangeable. Each one was designed for a different buyer, a different environment, and a different threat model — picking the wrong one is an expensive way to learn that. Here is how the major platforms compare in 2026 and which buyer fits each.
Quick orientation
Armis Centrix is best for enterprise IT teams needing agentless asset visibility across IT, IoT, OT, and medical devices — strong cloud-native discovery, less depth in industrial control systems.
Nozomi Networks is best for industrial control system environments (power, water, manufacturing, oil & gas) — deep ICS protocol coverage, weaker on corporate IoT.
Claroty is best for large industrial enterprises needing integrated OT remote access alongside asset visibility and threat detection — strong in pharma and discrete manufacturing, but an enterprise sales cycle.
Microsoft Defender for IoT is best for organisations already deep in the Microsoft security stack (Sentinel, Defender for Endpoint, Entra ID) — native SIEM integration, less mature as a standalone platform.
Forescout is best for network-focused security teams wanting device discovery tightly coupled with NAC and segmentation enforcement — strong network integration, more network tool than IoT-specific platform.
| Platform | Primary strength | Best-fit buyer | Key limit |
|---|---|---|---|
| Armis Centrix | Agentless asset visibility across IT/IoT/OT/medical | Enterprise IT teams | Less ICS depth than the OT specialists |
| Nozomi Networks | Deep ICS protocol coverage, passive OT monitoring | Industrial (power, water, manufacturing, oil & gas) | Weaker on corporate IoT |
| Claroty | Integrated OT remote access + visibility + detection | Large industrial enterprises (pharma, manufacturing) | Enterprise sales cycle, complex licensing |
| Microsoft Defender for IoT | Native Sentinel/XDR integration | Microsoft-stack organisations | Less mature as a standalone IoT platform |
| Forescout | Network/NAC-coupled device discovery | Network-focused security teams | More network tool than IoT-specific platform |
What these platforms actually do
The category is broad enough to be misleading. Most IoT security platforms cover some subset of:
- Asset discovery and inventory — find the devices on the network you did not know were there
- Vulnerability and risk assessment — flag CVEs, weak credentials, end-of-life firmware
- Behavioural monitoring — anomaly detection on device traffic patterns
- Network segmentation enforcement — push policy into firewalls, NAC, or SD-WAN
- Threat detection and response — IoT/OT-specific IDS, with SOC integration
- Compliance reporting — NIS2, IEC 62443, NIST, sector-specific frameworks
A platform that covers all six well does not exist. Pick by the gap that hurts most.
Armis Centrix
Best for: enterprise IT teams that need agentless asset visibility across IT, IoT, OT, and medical devices.
Strengths: cloud-native, vast device-fingerprint library, integrates with Microsoft, Cisco, ServiceNow, CrowdStrike. Excellent at the asset-discovery and risk-prioritisation step. Strong showing in healthcare and corporate environments.
Limits: less depth in industrial control systems than the OT specialists. Pricing is enterprise-grade.
Nozomi Networks
Best for: industrial control system environments — power, water, manufacturing, oil & gas.
Strengths: deep ICS protocol coverage (Modbus, DNP3, IEC-61850, OPC-UA), passive monitoring without disturbing OT, mature threat intel feed. Often deployed in combination with the operator’s existing SIEM.
Limits: weaker on the corporate IoT side than Armis. The on-prem option is mature; the SaaS variant is newer.
Claroty xDome / SRA / Continuous Threat Detection
Best for: large industrial enterprises that need integrated OT remote access, asset visibility, and threat detection.
Strengths: bundles asset visibility with secure remote access (SRA) — the latter solves a real problem at industrial sites where contractors connect into PLCs and HMIs daily. Strong vertical play in pharma and discrete manufacturing.
Limits: enterprise sales cycle, complex licensing, requires dedicated deployment effort.
Microsoft Defender for IoT
Best for: organisations already deep in the Microsoft security stack (Sentinel, Defender for Endpoint, Entra ID).
Strengths: native integration with Sentinel SIEM and Microsoft’s threat intelligence. CyberX-derived OT capabilities. Defender XDR pulls IoT events into the same incident timeline as identity, endpoint, and email. Strong cost story for Microsoft-licenced enterprises.
Limits: best when you are already an M365 E5 / Sentinel customer. As a standalone IoT security platform, it is less mature than Armis or Nozomi.
Forescout
Best for: network-focused security teams that want device discovery tightly coupled with NAC and segmentation enforcement.
Strengths: deep network integration, posture-based policy enforcement at the switch and firewall, mature multi-vendor compatibility. Strong in healthcare and financial-services networks.
Limits: more network-tool-than-IoT-platform identity. Threat intel is good but not industry-leading on the IoT-specific side.
Newer / specialist mentions
- Phosphorus — strong on remediation actions (credential rotation, firmware updates) rather than just detection
- Ordr — focused on healthcare IoT and biomedical devices
- Dragos — pure-play ICS, deep threat intel, strong in critical infrastructure
- Asimily — specifically designed for healthcare biomedical fleets
How to pick
A short decision flow:
- Is the binding constraint asset visibility or active threat detection? If visibility, Armis or Forescout. If detection in OT, Nozomi or Dragos. If both with Microsoft alignment, Defender for IoT.
- What is the dominant device class? Healthcare biomedical → Ordr or Asimily. Industrial OT → Nozomi or Claroty. Corporate IoT (cameras, printers, smart-building) → Armis or Forescout.
- What SIEM are you feeding? If Sentinel, lean Defender for IoT. If Splunk, anything works but Nozomi and Claroty integrate cleanly. If Chronicle, Armis is well-aligned.
- Budget reality. All five are six-figure annual minimums for enterprise deployments. Mid-market customers should look at the community editions of Nozomi (Guardian Air) and Defender for IoT, or specialised OT MSSPs that resell at lower tiers.
What product teams (vs CISO teams) need
If you are building a connected product rather than buying a platform to monitor one — the conversation is different. Product teams need:
- Threat modelling on the device (our guide)
- Per-device cryptographic identity with lifecycle management
- Fleet observability for health and security signals (our post on this)
- Signed OTA with rollback (our OTA post)
Buying an IoT security platform does not replace any of those. Platforms are for organisations that already have the device-side rigor and need to detect deviations from it across thousands of devices in production.
What we typically recommend
For a customer building a connected product fleet (not a CISO buying for an enterprise estate):
- Get the device-side fundamentals right first
- Use cloud-native logging and a SIEM you already operate (Splunk, Sentinel, Datadog) for fleet telemetry
- Defer the IoT security platform until the fleet exceeds 5,000 devices or compliance specifically demands it
For an enterprise CISO with a heterogeneous estate of someone-else-built IoT — Armis or Defender for IoT, depending on Microsoft alignment, with Nozomi or Claroty layered for OT-heavy environments.
If you want a second opinion on the fit, we have helped customers run this evaluation more than once.
Keep reading
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Security
Securing IoT: Threat Models, Secure Boot, and TLS in Constrained Devices
A practical security baseline for connected products — what to do, in what order, and what can wait until v2.
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Operations
IoT Fleet Observability: What to Measure Before Something Breaks
The metrics, logs, and traces that turn a device fleet from a black box into a system you can operate — what to instrument first, and what to add later.
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Industrial
Industrial IoT: Predictive Maintenance with Vibration Sensors
How to design a predictive maintenance program that actually catches failures — sensors, edge processing, baselines, and the practices that stick.
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