Armis Alternatives: 8 Top Competitors Compared 2026

Armis is a cyber exposure management platform that helps organizations discover, monitor, and secure connected assets across information technology (IT), operational technology (OT), the Internet of Things (IoT), and medical devices. Its Armis Centrix platform uses an AI-driven Asset Intelligence Engine to identify devices, assess exposure, prioritize risks, and support security teams in protecting their connected environments.

The platform is designed for organizations that need visibility beyond conventional endpoints. Industrial controllers, medical equipment, building management systems, unmanaged devices, and other connected assets can create security blind spots when they are not covered by traditional endpoint protection. Armis combines asset intelligence, vulnerability assessment, threat detection, and risk context to help security teams understand what is connected and where exposure exists.

The alternatives to Armis range from OT-native security platforms to broader cyber exposure management and network enforcement solutions. Some emphasize industrial protocol analysis and threat intelligence, while others prioritize asset discovery, vulnerability management, network segmentation, or integration with existing security operations. AI capabilities also differ: certain products use AI for alert correlation and risk analysis, while others focus on machine learning for anomaly detection or AI-assisted remediation guidance.

This article compares eight Armis alternatives and competitors in 2026, examining asset discovery, OT and IoT coverage, AI capabilities, threat detection, vulnerability prioritization, deployment options, G2 ratings, and publicly available pricing. The goal is to help security teams identify the best Armis alternative for their operational requirements rather than choose a platform based on feature counts alone.

Why Look for Armis Alternatives?

Armis provides broad connected-asset visibility, but organizations may need a platform with a different balance of industrial threat detection, exposure management, enforcement, and security operations integration. The right choice depends on which risks the organization needs to address first.

• More specialized OT threat detection: Organizations operating industrial control systems may prefer a platform with deep industrial protocol analysis, OT-specific threat intelligence, and detection logic built around industrial processes. General cyber exposure management may not provide the same depth for every operational environment.
• Different AI and analytics requirements: AI features vary considerably across vendors. Some platforms use AI-driven asset intelligence to enrich device records and prioritize exposure; others use behavioral analytics to identify anomalies, correlate alerts, or provide remediation guidance. Buyers should evaluate the actual workflow supported rather than treating AI as a single capability.
• Stronger network enforcement: Discovering a vulnerable device is only one part of risk reduction. Organizations may want to isolate a compromised endpoint, enforce network segmentation, or apply access policies automatically through integrations with network infrastructure.
• A more focused vulnerability management workflow: Some security teams already have a reliable asset inventory but need better vulnerability prioritization, exploitability context, and remediation planning. A platform built around exposure management may fit this requirement better than a broader device intelligence system.
• Cloud versus on-premises deployment: Distributed enterprises may prefer a cloud-managed platform, while regulated plants and isolated industrial networks may require on-premises or hybrid deployment. Deployment flexibility can affect architecture, data handling, and ongoing operational effort.
• Industrial threat intelligence: Organizations in energy, manufacturing, utilities, and critical infrastructure may value research focused on industrial adversaries, attack techniques, and sector-specific threats.
• More predictable licensing: Enterprise OT security tools often use customized pricing based on assets, sites, sensors, or deployment requirements. Comparing licensing units and included capabilities can be more useful than comparing headline prices alone.
• Better integration with the existing stack: A replacement should fit the organization’s SIEM, SOAR, vulnerability management, identity, ticketing, and network access control workflows. Integration quality can determine whether asset intelligence leads to action or simply adds another dashboard.

The strongest Armis alternatives are not necessarily the platforms with the most features. They are the ones that improve the organization’s ability to identify meaningful exposure, understand operational impact, and take appropriate action without disrupting critical systems.

Armis Competitors Compared: OT Visibility, AI, and Exposure Management

The comparison below highlights each competitor’s practical differentiation. AI capabilities refer to documented product capabilities rather than an assumption that every vendor uses generative AI or machine learning in every feature.

Alternative	Primary Offering	AI Capabilities	Best For	G2 Rating	Pricing
Claroty	CPS protection with OT asset inventory, exposure management, threat detection, and secure access	AI security agent capabilities alongside risk analysis and contextual asset intelligence	Industrial and healthcare environments needing detailed CPS visibility and risk prioritization	4.7/5	Contact sales
Nozomi Networks	OT/ICS network monitoring, asset visibility, and industrial threat detection	AI-driven analytics in Vantage for centralized threat and anomaly insights	Organizations managing distributed industrial sites and complex OT networks	N/A	Contact sales
Dragos	OT-native cybersecurity, industrial threat intelligence, and incident response	Analytics and threat intelligence support detection and investigation; verify specific AI functionality for the proposed package	Critical infrastructure operators needing industrial threat context	N/A	Contact sales
Forescout Platform	Device discovery, classification, network access control, and CPS security	Forescout Vistaro uses agentic AI; automation supports segmentation and response workflows	Enterprises that need visibility combined with network enforcement across IT, OT, IoT, and IoMT	4.5/5	Contact sales
ORDR	Connected-device security, asset intelligence, and risk-based enforcement	Device behavior analytics and automated risk detection; confirm AI-specific features for the selected offering	Healthcare and enterprises needing device discovery linked to access control	N/A	Contact sales
TXOne Networks	Industrial endpoint and network security, OT vulnerability assessment, and segmentation	EdgeOne’s AI-enhanced alert engine clusters events and builds attack chains; MCP support enables natural-language queries through compatible AI tools	Manufacturers that need OT-focused protection and operationally practical network controls	N/A	Contact sales
Tenable One OT Exposure	OT asset discovery, vulnerability management, exposure prioritization, and remediation workflows	AI-powered remediation guidance, risk prioritization, and broader Tenable One exposure intelligence	Organizations connecting OT vulnerability management with enterprise exposure management	N/A	Contact sales
Microsoft Defender for IoT	Agentless OT and IoT monitoring with Microsoft security integrations	Machine learning and behavioral analytics support anomaly and threat detection	Organizations already using Microsoft security tools and needing site-based OT licensing	4.3/5	India OT site licenses: ₹5,825–₹124,790/month, billed annually, by device tier

8 Armis Alternatives Worth Evaluating for OT and CPS Security

These Armis alternatives address different parts of the cyber-physical security problem. The right shortlist should reflect whether the priority is asset intelligence, industrial threat detection, vulnerability exposure, or enforcement.

#1. Claroty

Claroty is a cyber-physical systems (CPS) protection platform covering asset inventory, exposure management, network protection, secure access, and threat detection. Its portfolio includes cloud-based Claroty xDome and on-premises Continuous Threat Detection (CTD), giving organizations options for different operational and infrastructure requirements.

Claroty is particularly relevant when asset discovery must go beyond identifying a device by IP address. Its platform enriches device records with industrial context and supports risk prioritization based on asset characteristics and business importance. This can help security teams distinguish a production-critical controller from a less consequential device and prioritize remediation accordingly.

For buyers evaluating AI capabilities, Claroty’s platform now includes its Claire AI Security Agent initiative. AI functionality should be assessed against the intended use case, such as assisting security workflows or interpreting risk information, rather than assuming every detection or remediation process is autonomous. Claroty is a strong Armis alternative for organizations that want CPS-focused asset intelligence with threat detection and exposure management in the same platform.

Key Features

• CPS asset inventory: Discovers OT, IoT, IoMT, and building management assets, helping teams identify unmanaged devices and establish a more complete inventory across industrial and connected environments.
• Contextual asset intelligence: Adds device attributes and operational context to discovered assets, reducing manual identification work and helping security teams understand which devices require the greatest protection.
• Exposure management: Identifies vulnerabilities and other exposures across connected assets, then highlights relevant attack paths and recommendations to guide remediation planning.
• Threat detection: Monitors industrial environments for suspicious activity and known or emerging threats, supporting investigation without relying exclusively on endpoint agents.
• Multiple deployment options: Offers cloud and on-premises approaches, allowing organizations to evaluate architecture against connectivity, data handling, and operational requirements.
• AI-assisted security workflows: Claire AI Security Agent expands the platform’s AI capabilities; buyers should validate which workflows are available in their intended deployment and package.

Also Read: Claroty Alternatives and Competitors

#2. Nozomi Networks

Nozomi Networks focuses on OT and IoT security, with capabilities for asset discovery, network visibility, anomaly detection, and industrial threat monitoring. Its product ecosystem includes local monitoring components and Vantage, a cloud-based platform for managing visibility and security across multiple sites.

Nozomi is worth evaluating when an organization needs to monitor industrial communications and understand unusual behavior across a distributed operational environment. Vantage centralizes assets, sensors, networks, and locations, making it easier to review risks across facilities without treating each site as an isolated security program. Its OT-focused approach is especially relevant where conventional IT monitoring lacks sufficient industrial context.

AI is a documented part of Nozomi Vantage’s cloud analytics. The platform uses AI-driven analytics to help identify threats and anomalies across monitored environments. Buyers should distinguish those capabilities from general-purpose generative AI: the practical value lies in the detection and analysis workflow, the quality of asset context, and how efficiently analysts can investigate an event.

Key Features

• Industrial asset discovery: Identifies connected OT and IoT devices and builds an inventory that helps security teams uncover assets that may be missing from traditional IT management tools.
• Network visibility: Provides insight into communications across industrial networks, helping teams understand device relationships and investigate unexpected traffic patterns.
• AI-driven cloud analytics: Vantage enriches centralized monitoring with AI-driven analytics, supporting faster awareness of anomalies and suspicious activity across distributed sites.
• Multi-site management: Centralizes monitoring of assets, sensors, and locations, reducing the need for analysts to switch between separate site-level views.
• Threat and anomaly monitoring: Helps security teams identify abnormal behavior and investigate potential threats in environments where downtime or intrusive scanning can be costly.
• Scalable cloud architecture: Offers a subscription-based cloud management model with centralized oversight, making it suitable for organizations expanding OT security across multiple facilities.

Also Read: Nozomi Networks Alternatives and Competitors

#3. Dragos

Dragos is an OT cybersecurity platform designed around industrial threat detection, threat intelligence, vulnerability management, and incident response. It serves organizations that need security controls and investigative context built specifically for operational technology and critical infrastructure rather than adapting conventional IT controls to industrial systems.

Its main differentiation is the emphasis on industrial threats and operational context. Security teams can use OT-focused intelligence to investigate suspicious activity, understand relevant adversary behavior, and prioritize risks that could affect production or critical services. This can be especially important for organizations whose security decisions must account for operational safety and availability.

Dragos should be evaluated on the depth of its OT detection, intelligence, and response workflows rather than on broad AI claims. Industrial analytics and threat intelligence can help analysts interpret events, but buyers should validate any AI-specific features directly against the current product package. Dragos is a compelling alternative when industrial threat expertise is a higher priority than broad cross-domain asset exposure management.

Key Features

• OT-focused threat detection: Monitors industrial environments for suspicious activity and threats relevant to operational technology, supporting investigation with context beyond generic network alerts.
• Industrial threat intelligence: Connects security events with industrial adversary behavior and threat research, helping analysts understand why an event may matter to a particular sector or facility.
• Asset visibility: Helps organizations identify OT assets and understand their role in the industrial environment, improving the context available for vulnerability and threat investigations.
• Vulnerability prioritization: Supports risk assessment in operational environments where exploitability, asset importance, and potential operational impact all influence remediation decisions.
• Incident response support: Provides OT-oriented expertise and workflows for investigating and responding to industrial cybersecurity incidents, including environments where containment must be carefully planned.
• Operational risk focus: Helps security teams assess cyber threats in relation to plant operations and critical infrastructure, rather than relying only on conventional IT severity scores.

Also Read: Dragos Alternatives and Competitors

#4. Forescout Platform

Forescout provides device visibility, classification, network access control, and security enforcement across IT, OT, IoT, and IoMT environments. Its capabilities are relevant to organizations that want to move from discovering connected assets to applying policies that control how those assets communicate or access network resources.

Forescout’s differentiator is its connection between device intelligence and network-level action. Organizations can use asset classification and posture information to support segmentation, access decisions, and response workflows. Its eyeInspect offering provides CPS-focused asset intelligence, risk insights, and threat detection for industrial environments.

AI is becoming more prominent in Forescout’s portfolio. Forescout Vistaro is described as an agentic AI-powered platform, while the wider Forescout ecosystem emphasizes automation, threat intelligence, and network enforcement. Buyers should confirm which AI capabilities are included in the product and deployment they are considering. Forescout is a strong Armis alternative when the goal is to connect device discovery with policy enforcement across a mixed IT and OT estate.

Key Features

• Managed and unmanaged device discovery: Identifies devices connecting to the network, helping teams uncover unauthorized or untracked assets that may otherwise escape security controls.
• Device classification: Enriches asset records with information about device type and posture, enabling more targeted access policies than broad network rules.
• CPS visibility with eyeInspect: Provides OT-focused asset intelligence and risk information for industrial networks, supporting visibility into devices and processes that need specialized monitoring.
• Network segmentation: Helps organizations restrict communication between devices and network zones, reducing opportunities for compromised systems to move laterally.
• Automated response workflows: Integrates with security and network tools to support policy-driven action, reducing the amount of manual coordination required during response.
• AI-enabled security operations: Forescout Vistaro’s agentic AI positioning may support more automated security workflows; validate the specific capabilities and integrations available for the required use case.

Also Read: Forescout Alternatives and Competitors

#5. ORDR

ORDR specializes in connected-device security, with a focus on asset discovery, device classification, risk analysis, and enforcement. Its approach is especially relevant in environments with large numbers of connected devices, including healthcare, where medical equipment and other specialized endpoints may not support conventional endpoint agents.

ORDR can help teams understand what devices are present, how they behave, and which assets may pose security or operational risks. This is useful when the main challenge is not simply detecting a threat but identifying the affected device, understanding its role, and connecting that intelligence to access-control or remediation workflows.

ORDR’s core value should be assessed through its device intelligence, behavioral monitoring, and enforcement capabilities. Buyers should verify any specific AI claims with the vendor and determine whether the proposed solution uses AI for anomaly detection, prioritization, or other clearly defined workflows. ORDR is worth considering when asset-level context and practical enforcement are central requirements, particularly in healthcare and other device-dense environments.

Key Features

• Connected-device discovery: Identifies devices across complex networks, helping teams locate unmanaged assets that may not appear in endpoint management or traditional inventory systems.
• Device identification and context: Classifies connected devices and enriches their records, supporting more accurate risk decisions for specialized equipment and nontraditional endpoints.
• Behavioral monitoring: Examines device communications and activity to help identify behavior that differs from expected patterns, giving security teams a basis for further investigation.
• Risk prioritization: Helps teams distinguish higher-risk devices from lower-priority findings, making it easier to allocate limited security resources.
• Enforcement integration: Connects device intelligence with network controls and security workflows, supporting action against unauthorized or potentially compromised devices.
• Healthcare and IoT focus: Addresses environments with connected medical equipment and other specialized devices that can be difficult to secure using conventional endpoint protection alone.

Also Read: ORDR Alternatives and Competitors

#6. TXOne Networks

TXOne Networks focuses on industrial cybersecurity, with products designed to protect OT environments without creating unnecessary operational disruption. Its portfolio includes network security, industrial endpoint protection, vulnerability assessment, and centralized management for industrial sites.

TXOne is especially relevant to manufacturers that need to protect production equipment and industrial networks while accounting for legacy systems and uptime requirements. Its network security approach includes industrial protocol awareness, segmentation, and controls designed around OT operating conditions. This makes it a different kind of Armis alternative: rather than focusing primarily on broad cyber exposure management, TXOne emphasizes controls that can be applied directly within industrial environments.

TXOne also has concrete AI functionality in its EdgeOne management console. The company describes an AI-enhanced alert engine that clusters events by severity and automatically builds attack chains. EdgeOne also supports an MCP connector so compatible AI tools can query information in natural language within the security perimeter. These capabilities are particularly relevant for teams that want to reduce alert triage effort while retaining control over industrial security data and workflows.

Key Features

• Industrial network protection: Provides OT-oriented network security controls designed to protect industrial communications and production environments from malicious activity.
• AI-enhanced alert clustering: EdgeOne’s AI engine groups events by severity, helping analysts review related alerts together instead of handling every event as an isolated finding.
• Automated attack-chain construction: Builds attack chains from clustered events, giving security teams more context for understanding how activity may be connected during an incident.
• Natural-language querying through MCP: EdgeOne’s MCP connector allows compatible AI tools to query security information in plain language while keeping the workflow within the defined security perimeter.
• Network-based vulnerability detection: Supports OT vulnerability assessment and asset management, helping teams identify weaknesses without depending exclusively on conventional endpoint scanning.
• Segmentation and industrial policy controls: Supports industrial network segmentation and policy enforcement, helping operators limit unnecessary communication and reduce potential lateral movement.

Also Read: TXOne Networks Alternatives and Competitors

#7. Tenable One OT Exposure

Tenable One OT Exposure combines OT asset discovery, exposure assessment, risk prioritization, and remediation workflows. It is suited to organizations that want to connect industrial asset visibility with a wider vulnerability and exposure management program instead of managing OT risks in a separate security silo.

Tenable’s approach emphasizes identifying assets, assessing weaknesses, and prioritizing exposures based on factors such as exploitability and operational importance. Its Safe Active Query capability complements passive monitoring by gathering additional device information through vendor-approved methods. Deployment options include cloud, on-premises, and hybrid approaches, which can matter for regulated or isolated OT networks.

AI features are part of Tenable’s broader exposure management capabilities. The OT offering includes AI-powered remediation guidance, while Tenable One uses risk intelligence and AI-related capabilities across its wider platform. Buyers should distinguish features available specifically in OT Exposure from capabilities offered by other Tenable One modules. Tenable is a good Armis alternative for teams that prioritize vulnerability and exposure reduction across converged IT and OT environments.

Key Features

• OT asset inventory: Discovers industrial assets, including unmanaged devices, and helps consolidate information that may otherwise be spread across separate security tools.
• Safe Active Query: Gathers deeper device details through supported industrial protocols, complementing passive network monitoring when additional asset information is needed.
• Exposure prioritization: Uses risk context and exploitability intelligence to help teams focus on vulnerabilities and exposures most likely to affect operational security.
• AI-powered remediation guidance: Provides AI-assisted recommendations to help analysts understand findings and plan corrective actions more efficiently.
• Attack-path and network context: Helps teams understand relationships between assets and exposures, supporting decisions about which weaknesses could create broader risk across connected environments.
• Flexible deployment and integrations: Supports cloud, on-premises, and hybrid deployment approaches, along with integrations that connect OT findings to wider security and remediation workflows.

Also Read: Tenable Alternatives and Competitors

#8. Microsoft Defender for IoT

Microsoft Defender for IoT provides agentless monitoring and security capabilities for OT and IoT environments. It is especially relevant for organizations already using Microsoft security products and looking to extend visibility into industrial networks, connected devices, and critical infrastructure.

The platform can identify devices, monitor network activity, detect suspicious behavior, and integrate OT security information with the broader Microsoft security ecosystem. Its value depends partly on how well the organization can connect industrial alerts with its existing security operations workflows. Site-based licensing also makes it possible to evaluate costs by the number of devices covered at each industrial location.

Microsoft’s OT security capabilities use machine learning and behavioral analysis to help detect anomalies and threats. These functions support monitoring and investigation; they should not be confused with a promise that every alert is automatically resolved by generative AI. Microsoft Defender for IoT is a practical Armis alternative when integration with Microsoft security operations and transparent site-based licensing are important evaluation criteria.

Key Features

• Agentless OT monitoring: Monitors industrial network traffic without requiring software agents on every device, which is useful for legacy controllers and equipment that cannot support conventional endpoint agents.
• Device discovery and classification: Identifies OT and IoT devices and helps establish a clearer inventory of connected assets across industrial sites.
• Behavioral anomaly detection: Uses machine learning and network behavior analysis to identify suspicious activity that may indicate a threat or an unexpected change in device communications.
• Microsoft security integration: Connects OT security insights with the broader Microsoft security ecosystem, helping teams correlate industrial alerts with their existing investigation and response processes.
• Site-based licensing: Offers OT license tiers based on the number of devices at a site, giving buyers a clearer starting point for estimating costs.
• Support for critical infrastructure: Provides security monitoring for industrial systems, manufacturing processes, and operational environments where protecting availability is as important as identifying cyber threats.

Also Read: Microsoft Defender for Endpoint Alternatives and Competitors

How to Choose the Right Armis Competitor

Choosing an Armis replacement requires more than comparing asset counts or checking whether a vendor advertises AI. Start with the security outcomes the platform must deliver, then validate its coverage, integrations, deployment model, and operating cost.

• Define the primary problem: Decide whether the priority is discovering unknown assets, detecting OT threats, managing vulnerabilities, reducing exposure, or enforcing network controls. A platform optimized for one of these tasks may not replace every Armis workflow.
• Map the asset estate: List the industrial controllers, servers, IoT devices, medical equipment, building systems, and other connected assets that need protection. Confirm that each shortlisted platform can identify the relevant device types and industrial protocols.
• Validate passive monitoring: In sensitive environments, determine whether the product can build visibility through passive network monitoring and whether any active discovery method is safe for the equipment in scope.
• Assess industrial context: Check whether asset records include firmware, model, vendor, communication patterns, known vulnerabilities, and operational relevance. Better context helps teams avoid treating every asset or finding as equally important.
• Test AI against real workflows: Ask vendors to demonstrate exactly what AI does: identify anomalies, group related alerts, prioritize risks, build attack chains, recommend remediation, or support natural-language queries. Do not accept a generic AI label as evidence of capability.
• Measure AI explainability: Determine whether analysts can understand why a risk was prioritized or why an event was flagged. For OT environments, an explainable finding can be more actionable than an opaque score.
• Review AI data boundaries: If AI assistants or external model integrations are involved, clarify where data is processed, what information leaves the environment, how access is controlled, and whether the solution supports the organization’s security requirements.
• Compare detection depth: Evaluate the platform’s ability to identify protocol misuse, abnormal industrial communications, suspicious configuration changes, and threats relevant to the organization’s sector.
• Check threat intelligence: For critical infrastructure, ask whether threat intelligence includes industrial adversaries, sector-specific indicators, and context that helps analysts distinguish routine changes from potentially dangerous activity.
• Connect detection to enforcement: Determine whether the product can trigger or support isolation, segmentation, access-control changes, or ticketing through existing network and security tools. Verify which actions are native and which require third-party integrations.
• Review vulnerability prioritization: Look beyond severity scores. Assess whether the platform considers exploitability, asset criticality, exposure paths, and the operational consequences of remediation.
• Evaluate deployment constraints: Confirm whether cloud, on-premises, hybrid, or air-gapped deployments are supported for the required features. Do not assume every AI capability works in every deployment model.
• Check integrations: Test connections to SIEM, SOAR, CMDB, vulnerability management, ticketing, network access control, and endpoint security systems. Strong integrations reduce duplicated work and make asset intelligence more useful.
• Calculate total cost of ownership: Compare asset-, device-, sensor-, and site-based licensing, along with implementation, integrations, support, and any additional modules. Request a quote based on the actual inventory and number of locations.
• Validate G2 feedback carefully: Use the rating for the actual product when available. If only a vendor-level or category-level rating exists, treat it as contextual evidence rather than proof that the specific OT module performs equally well.
• Run a representative proof of concept: Include legacy devices, unmanaged assets, normal operational changes, and simulated suspicious behavior. Measure discovery accuracy, alert quality, false positives, investigation effort, and the time needed to produce a useful remediation decision.
• Check operational safety: Confirm that discovery, monitoring, and enforcement will not disrupt production or interfere with safety-critical systems. Require a clear change-control and rollback process before enabling active controls.

Conclusion

Armis is a strong option for organizations that need broad asset intelligence and cyber exposure management across IT, OT, IoT, and other connected environments. However, the best Armis alternative depends on whether the main objective is industrial threat detection, contextual asset visibility, vulnerability prioritization, or network-level enforcement.

Claroty and Nozomi Networks are worth evaluating for deep CPS and OT visibility, while Dragos is particularly relevant to teams that prioritize industrial threat intelligence and incident response. Forescout connects asset discovery with network enforcement, and ORDR focuses on connected-device intelligence in environments such as healthcare. TXOne Networks stands out for industrial security controls and its documented AI-assisted alert analysis. Tenable One OT Exposure suits organizations seeking to connect OT vulnerabilities with broader exposure management, while Microsoft Defender for IoT can be attractive to Microsoft-centric environments that want site-based OT licensing.

AI should be part of the evaluation, but not the sole deciding factor. Compare what each platform can actually automate, how it explains risk, whether its recommendations fit industrial workflows, and how it handles sensitive operational data. An AI feature that reduces alert triage or improves remediation decisions may provide more value than a broad AI label without a clearly demonstrated use case.

Before replacing Armis, build a representative asset inventory, define the required integrations, and test the shortlisted products against realistic OT scenarios. Compare the cost of the full deployment—not just the core license—and confirm that the features demonstrated during evaluation are included in the proposed package. The right choice is the platform that reduces meaningful exposure, supports safe operations, and helps the security team act on reliable information.

Frequently Asked Questions

1. What are the best Armis alternatives in 2026?

Claroty, Nozomi Networks, Dragos, Forescout, ORDR, TXOne Networks, Tenable One OT Exposure, and Microsoft Defender for IoT are worth evaluating. The best choice depends on whether the organization prioritizes OT threat detection, asset intelligence, exposure management, network enforcement, or integration with an existing security stack.

2. Why do organizations look for alternatives to Armis?

Organizations may need deeper industrial threat intelligence, different deployment options, stronger network enforcement, a more focused vulnerability management workflow, or licensing that better matches their asset inventory. Some also want AI features designed around specific tasks such as alert clustering, anomaly detection, or remediation guidance.

3. Which Armis competitor is best for OT security?

There is no single winner for every OT environment. Claroty, Nozomi Networks, and Dragos are strong candidates for industrial visibility and threat monitoring. TXOne Networks is relevant for industrial network protection, while Tenable One OT Exposure is worth considering when vulnerability and exposure management are central priorities.

4. Which Armis alternative offers AI capabilities?

Several competitors document AI-related capabilities, but they support different workflows. Armis uses an AI-driven Asset Intelligence Engine; Nozomi Vantage offers AI-driven analytics; Forescout Vistaro is described as agentic AI-powered; TXOne EdgeOne provides AI-enhanced alert clustering and attack-chain construction; and Tenable One OT Exposure includes AI-powered remediation guidance. Buyers should verify availability for the exact product package.

5. Is Claroty a good alternative to Armis?

Claroty is a strong candidate for organizations that need CPS-focused asset inventory, exposure management, threat detection, and secure access. Its cloud and on-premises product options also help organizations evaluate different deployment requirements. A proof of concept should confirm asset coverage and the AI workflows relevant to the use case.

6. How does Nozomi Networks compare with Armis?

Nozomi Networks emphasizes OT and IoT network visibility, industrial threat monitoring, and centralized management through Vantage. Armis offers broader cyber exposure management across connected asset categories. Organizations with distributed industrial sites may prefer to test Nozomi’s monitoring and analytics against their operational requirements.

7. Is Dragos better than Armis for critical infrastructure?

Dragos may be a better fit when industrial threat intelligence, OT-focused detection, and incident response are the primary requirements. Armis may be more suitable when the organization needs broad asset intelligence across multiple connected-device categories. The choice should reflect the environment, existing tools, and required response workflows.

8. Which Armis competitor is best for network enforcement?

Forescout is worth evaluating when the organization wants to connect device discovery and classification with network access control, segmentation, and automated response workflows. TXOne Networks also deserves consideration for industrial network controls. Validate whether each required action is native or depends on third-party integrations.

9. Is TXOne Networks a good Armis replacement for manufacturers?

TXOne Networks is a relevant option for manufacturers that need OT-focused network security, vulnerability detection, segmentation, and centralized management. Its EdgeOne AI capabilities can help group alerts and construct attack chains. It should be compared with Armis on asset coverage and the breadth of exposure management required.

10. Does Microsoft Defender for IoT have public pricing?

Yes. Microsoft publishes India pricing for its OT site-license tiers, with monthly license prices billed annually and device limits that range from up to 100 devices to up to 5,000 devices per site. Enterprise IoT licensing uses a different model, so buyers should select the pricing category that matches their deployment.

11. Which Armis alternative is best for vulnerability management?

Tenable One OT Exposure is a strong candidate when the goal is to identify OT assets, assess vulnerabilities, prioritize exposures, and connect findings with broader enterprise risk management. Claroty also provides exposure management for CPS assets. Compare the depth of industrial context and prioritization logic using representative devices.

12. Which tools are best for healthcare and connected medical devices?

Armis, ORDR, Claroty, and Forescout are relevant options to evaluate for healthcare environments with medical devices and other connected assets. Compare device identification accuracy, integrations, network enforcement, and the ability to monitor devices that cannot run traditional endpoint agents.

13. Are Armis alternatives available as cloud or on-premises products?

Deployment models vary. Armis Centrix is cloud-native; Nozomi Vantage provides cloud-based centralized management; Claroty offers cloud and on-premises options; and Tenable One OT Exposure supports cloud, on-premises, and hybrid deployments. Confirm that the features you need—including AI functions—are supported in the intended architecture.

14. How should buyers compare AI capabilities in OT security tools?

Start with the workflow, not the marketing label. Test whether AI improves anomaly detection, alert grouping, attack-chain analysis, risk prioritization, investigation, or remediation guidance. Also review explainability, data handling, integration requirements, and whether the feature is included in the proposed package.

15. Are AI features in OT security platforms fully autonomous?

Not necessarily. AI may support analysis, prioritization, alert correlation, or recommendations without independently executing remediation. Buyers should establish which actions require human approval, which can be automated, and what safeguards prevent changes that could disrupt industrial operations.

16. How should G2 ratings influence the choice of an Armis replacement?

G2 ratings can provide useful context about user experience, support, and implementation, but they should not replace technical validation. Prefer ratings for the exact product. If a vendor-level rating is used because the product has limited review data, treat it as a general signal rather than a product-specific performance score.

17. How much do Armis alternatives cost?

Pricing varies by vendor and licensing model. Most enterprise OT security platforms require a sales quote based on factors such as sites, assets, sensors, modules, and deployment requirements. Microsoft Defender for IoT publishes India OT site-license pricing, while Tenable and other vendors may provide quotes for their OT-specific offerings.

18. What should a proof of concept measure before replacing Armis?

Measure asset discovery accuracy, device classification, vulnerability context, threat detection, alert quality, false-positive rates, investigation time, integrations, and response workflows. Include legacy industrial devices and realistic operational changes, and confirm that testing does not introduce risk to production systems.

19. What is the difference between an OT security platform and a cyber exposure management platform?

An OT security platform typically emphasizes industrial asset visibility, protocol-aware monitoring, threat detection, and protection of operational processes. A cyber exposure management platform focuses on identifying and prioritizing risks across a broader attack surface. Some products overlap, so buyers should compare actual capabilities rather than rely only on category labels.

20. How do I choose the right Armis replacement?

Define the main security problem, map the assets that must be protected, and shortlist products with the required deployment and integration options. Evaluate AI based on measurable workflows, review the total cost of ownership, and run a proof of concept that tests detection quality, risk prioritization, and safe response under realistic operating conditions.