How To Choose The Right IoMT Security Vendor

Most health systems that start an IoMT security evaluation reach a shortlist quickly. A handful of vendors are built for connected medical devices, and in a demo, their dashboards look alike: device counts, risk scores, and a network map. The harder decision is which platform will still be producing results a year after deployment, once it has to operate inside clinical change control, alongside biomedical engineering workflows, and on a network that changes every week.

This guide is written for CISOs and security leaders making that decision. It covers the constraints that set IoMT apart from traditional IT security, seven capabilities worth testing, how the leading vendors approach the problem, and the questions that expose real differences during an evaluation.

Why IoMT Security Requires a Purpose-Built Vendor

A typical endpoint security program assumes it can install software, scan on a schedule, and patch within a set window. Connected medical devices break all three assumptions. Infusion pumps, patient monitors, and imaging systems run manufacturer-controlled software that cannot host a third-party agent. Many run operating systems that stopped receiving updates years ago, and a firmware change may need manufacturer validation before it can be applied. Aggressive network scanning can interrupt a device in use at the bedside. These constraints are why medical device security needs tools designed for them.

The organizational constraints are just as real. Clinical engineering, IT, and nursing leadership are accountable for uptime, and they will stop any security change they cannot evaluate first. A vendor that cannot show the effect of a change before it happens will struggle to get through that review, regardless of how accurate its findings are.

Regulatory expectations are rising at the same time. In New York, 10 NYCRR 405.46 requires general hospitals to maintain a cybersecurity program, designate a CISO, and report cybersecurity incidents to the state within 72 hours. Requirements like these move medical device security from recommended practice to audited obligation, which raises the bar for the evidence a vendor’s platform can produce. Asimily’s governance, risk, and compliance capabilities and its HIPAA compliance support address that evidence requirement.

[Related: Healthcare IoT Security: A Practical Guide for Hospital Teams]

Seven Capabilities to Evaluate When Choosing an IoMT Security Vendor

1. Complete, Agentless Device Inventory

Every IoMT decision starts with an accurate record of what is connected. That record should be built without agents and without interrupting devices in clinical use, and it should include IoT, OT, IoMT, and IT assets in one place. A radiology workstation, a building automation controller, and a CT scanner can all sit on the same path an attacker would take, so an inventory limited to medical devices leaves blind spots.

Depth matters as much as coverage. Ask whether the platform identifies model, firmware version, and software components for each device, since vulnerability matching fails without that detail. Ask how it handles a device type it has never encountered and how long classification of a new model takes. The most useful test is a sample of unusual devices from your own environment, such as laboratory analyzers and specialty imaging equipment.

Asimily’s inventory and visibility capabilities build that record agentlessly and keep it current as devices move between units, return from repair, or are replaced. Deep packet inspection and correlation with other data sources supply device detail, and two-way CMMS synchronization keeps clinical engineering and security working from the same record. For short answers to common discovery questions, see the IoMT security FAQ.

2. Vulnerability Prioritization Based on Real Exploitability

Large health systems carry far more open medical device vulnerabilities than any team can remediate, so the vendor’s prioritization model decides where limited capacity goes. A severity score ranks a vulnerability the same way on every network, which tells a team little about the risk on its own.

Ask each vendor which inputs drive its ranking. Strong answers include evidence of active exploitation (such as a listing in CISA’s Known Exploited Vulnerabilities catalog), whether the device is reachable on your network, which attack techniques apply, and the clinical consequence of a compromise. Then ask to see the reasoning behind one specific ranking. If a vendor cannot explain why one device outranks another, clinical engineering is unlikely to approve the downtime request that follows.

Asimily uses ATT&CK Analysis, which applies the MITRE ATT&CK framework to determine whether a vulnerability can be exploited on a given device in its actual network position. Each entry in the resulting list carries a documented rationale. Learn more about Asimily’s approach to risk-based vulnerability prioritization.

[Related: Vulnerability Prioritization in IoMT Security]

3. Mitigation Options Beyond the Patch

For many medical devices, a patch is the least available fix. Manufacturer approval, clinical validation, and scheduled downtime can delay it by months. A vendor needs to offer other ways to reduce risk in the meantime, along with a clear view of the effort and effect of each.

Look for mitigation guidance tied to the specific way a device could be attacked. Closing one exposed service or restricting one port can remove an attack path while the device continues its clinical work. Ask whether the platform can estimate the risk reduction of an action before the team commits to it, and whether it watches for configuration changes that undo earlier fixes.

Asimily’s risk mitigation guidance combines segmentation, patching, and targeted mitigations, drawing on MITRE ATT&CK, Asimily Labs research, and the Asimily AI engine. Risk Simulator estimates the effect of an action before it is taken, and Configuration Control detects insecure drift and restores the approved state.

4. Segmentation That Reaches Enforcement

Segmentation is often the most effective control for devices that cannot be patched, and it is also where many IoMT programs stall. Most health systems already own a NAC. Far fewer use it to enforce device-level policy, because writing, testing, and maintaining policy for thousands of devices by hand does not scale.

Evaluate how far each vendor carries the work. A recommendation is only the starting point. Ask who writes the policy in the format your NAC requires, how its impact is validated before enforcement, how it reaches the enforcement point, and what keeps it accurate as devices change. Ask to see a policy simulated against observed traffic, along with the list of connections it would block.

Asimily’s Segmentation Orchestration is designed for this gap. It operates above existing NAC platforms such as Cisco ISE, Aruba ClearPass, and Arista, which remain the enforcement point. Policy Auto-Recommendation identifies where to begin, Policy Creation produces policy in each NAC’s native format, and Policy Simulation shows the effect against real traffic before anything changes. After deployment, Continuous Segmentation keeps policy aligned with the network, and Policy Audit consolidates redundant policies before they overload switches. For design considerations, see network segmentation and microsegmentation.

[Related: Network Segmentation Security Best Practices]

5. Threat Detection and Forensic Incident Response

When a medical device behaves abnormally, the response team has to weigh containment against patient care, since disconnecting a device in use can cause harm of its own. Before deciding, responders need to know what the device does, which clinical workflow depends on it, and what it has been communicating with.

Ask how the vendor detects abnormal behavior, which response actions it supports, and whether it preserves network evidence. Packet-level records of a device’s traffic let investigators establish what happened, which other systems were involved, and whether the device can safely return to service. Remote vendor connections to medical devices deserve the same scrutiny, as the Lumexa Imaging breach showed.

Asimily’s threat and response capabilities monitor device behavior against established baselines and threat intelligence, and can trigger actions up to NAC-enforced quarantine. Packet capture for incident response records traffic for flagged devices, so investigations begin with evidence.

[Related: Forensic Analysis Guide for IoMT Cybersecurity]

6. Procurement and Device Lifecycle Support

The least expensive time to address a risky medical device is before the purchase order is signed. Once a device is deployed, its weaknesses turn into years of compensating controls. A vendor that supports procurement gives the security team evidence to bring into contract negotiations.

Ask whether the platform can assess a specific model and configuration before purchase, using data observed in the field. Manufacturers’ premarket cybersecurity submissions under FDA section 524B, including the software bill of materials, are useful inputs, and field data adds how the device behaves once it is on a hospital network. After purchase, look for FDA recall and manufacturer advisory tracking matched to affected devices, plus utilization data that informs replacement and future buying decisions.

Asimily supports IoMT pre-purchase risk avoidance through ProSecure, which is built on observed security risk data for medical devices in the field. The platform also matches FDA recalls and security advisories to affected devices, and medical device utilization tracking shows how equipment is actually used across the health system.

[Related: CISO’s Security Risk Assessment Guide for Medical Device Procurement]

7. Integration With the Existing Security Stack

An IoMT platform delivers value through the systems it feeds. Findings that stay inside a separate console add work for the team. Judge integrations by the workflow they change: work orders created in the CMMS, alerts delivered to the SIEM, cleaner results from vulnerability scanners, and policy applied through the NAC.

Ask which integrations are bidirectional, which are included, and which require services work. A two-way CMMS integration that opens work orders has a very different operational effect than a nightly export of device records.

Asimily integrates with CMMS and CMDB platforms including ServiceNow, Nuvolo, Accruent, and TRIMEDX; vulnerability scanners from Tenable, Rapid7, and Qualys; SIEM platforms such as Splunk and QRadar; identity providers including Okta and Microsoft Entra ID; and NAC platforms from Cisco, Aruba, and Arista. The full list is on the Asimily integrations page.

How Leading IoMT Security Vendors Compare

Four platforms appear on most health system shortlists: Asimily, Armis, Claroty, and Ordr. All four discover connected medical devices without agents, assess risk, and connect to network infrastructure to act on that risk. Two sources of evidence separate them most reliably: independent feedback from healthcare organizations that run these platforms, and a close look at how each one performs after deployment.

What Healthcare Customers Report

The 2026 Healthcare IoT Security report from KLAS Research scores vendors on a 100-point scale. The scores are based on verified feedback from healthcare provider organizations across six areas: culture, loyalty, product, operations, relationship, and value. Asimily received the highest overall score of any vendor evaluated and the top rating in the report’s “Money’s Worth” category, and was named 2026 Best in KLAS for Healthcare IoT Security.

Source: KLAS Research, 2026 Healthcare IoT Security report

With users pointing to Asimily’s risk intelligence, its vulnerability identification, and its fit with healthcare operations, Asimily frequently outranks competitors. Users also described less manual effort in finding risk and in routing remediation work to the right teams. Asimily holds a 4.9 out of 5 rating on Gartner Peer Insights, making it consistently the top-rated IoMT security platform.

How Other Vendors Address IoMT Security

Armis became part of ServiceNow when that acquisition closed in April 2026. Its medical device security offering, part of the Armis Centrix platform, covers discovery, vulnerability management, segmentation, and threat detection. It is available on its own and through the ServiceNow AI Platform, which is a factor for health systems that have standardized on ServiceNow. 

Claroty’s xDome for Healthcare is built on its acquisition of Medigate and covers medical devices, IoT, and building management systems. Claroty customers in the KLAS report cited its usability, dependability, and inventory management.

Ordr offers an AI Protect platform for connected device security. The platform discovers and classifies devices without agents, prioritizes vulnerabilities, monitors device behavior for anomalies, and maps findings to HIPAA and FDA guidance. It offers some segmentation capabilities that support risk reduction.

Where Asimily Stands Out in IoMT Security

Asimily’s differences cover the whole platform, from how it ranks risk to how it reports results to the board.

One platform across device types. A single inventory, prioritization model, and policy workflow covers IoT, OT, IoMT, and IT assets. Clinical devices, building systems, and IT infrastructure are visible within one exposure management platform.

Prioritization by real exploitability. ATT&CK Analysis applies the MITRE ATT&CK framework to each device in its actual network position. The resulting prioritized remediation queue contains the smallest set of devices that delivers the greatest risk reduction, and every entry has a documented reason for its rank.

Several ways to reduce risk without a patch. Asimily combines targeted mitigations, segmentation, and IoT Patching. Risk Simulator estimates the effect of each option before the team acts. Configuration Control sets a secure baseline for each device, detects drift from it, and restores the approved state.

Segmentation through the NAC already in place. Segmentation Orchestration generates policy in the native format of Cisco ISE, Aruba ClearPass, and Arista. It previews each policy’s impact against observed traffic before enforcement and keeps policy current as the network changes.

Forensic evidence built into the platform. Native packet capture records traffic for flagged devices, so investigations start with evidence instead of reconstruction from logs. Threat detection draws on more than 100 threat intelligence sources and can escalate to NAC-enforced quarantine.

Coverage of the medical device lifecycle. ProSecure assesses IoMT device risk before purchase. FDA recall and advisory matching connects each notice to the affected devices, and utilization tracking informs replacement and capital planning.

Reporting the board can act on. Compliance mapping covers HIPAA, NIST, CIS, and other frameworks. One large hospital network with more than 15 sites used Asimily to report 98% NIST compliance to its board, against a peer average of 56%.

For a broader look at how these platforms fit into hospital environments, see how Asimily compares to other IoT healthcare solutions. The table below breaks the comparison down question by question.

 

Evaluation Question	What a Strong Answer Includes	Asimily’s Approach
Can the platform identify every connected device by model and firmware version without agents or disruption?	One inventory covering IoT, OT, IoMT, and IT assets, classified to model and firmware	Agentless inventory across all four device types, kept current as devices move, are repaired, or are replaced
Does the inventory stay in sync with clinical engineering records?	Two-way synchronization with the CMMS and CMDB	Bidirectional CMMS and CMDB integration, including automatic work orders where supported
Does the ranking reflect whether a vulnerability is exploitable on this device, on this network?	A documented reason for each ranking	ATT&CK Analysis evaluates exploitability for each device in its network topology
What can the team do when a patch is unavailable?	Mitigations tied to the specific attack technique, with effort and effect stated	Targeted mitigations drawn from MITRE ATT&CK, Asimily Labs research, and the Asimily AI engine – all core components of Asimily’s ATT&CK Analysis.
Can the risk reduction of an action be estimated before it is taken?	A modeled outcome that lets the team compare options	Risk Simulator
Does the platform detect configuration changes that reintroduce risk?	Continuous, safe monitoring with a path back to the approved state	Configuration Control detects insecure drift and restores the secure configuration
Does the platform help apply patches where devices support them?	A managed patching workflow for patchable IoT devices	IoT Patching
Who turns a recommendation into policy the NAC can enforce?	Policy generated in the enforcement point’s native schema	Policy Creation for Cisco ISE, Aruba ClearPass, and Arista
How will the team know what a policy blocks before it is enforced?	Simulation against observed traffic, with affected connections listed	Policy Simulation against real network data
What happens to policy when devices move, change, or retire?	Automatic tracking and consolidation of policy	Continuous Segmentation and Policy Audit
How does the platform detect and contain abnormal device behavior?	Behavioral baselines and threat intelligence, with response options up to quarantine	Threat detection informed by more than 100 threat intelligence sources, with NAC-enforced quarantine
Is network evidence preserved for incident investigations?	Packet-level records for flagged devices	Native packet capture for forensic incident response
Are FDA recalls and manufacturer advisories matched to affected devices?	Automatic matching against the live inventory	FDA recall and advisory alerting
Can a device model be assessed before purchase, and can deployed devices be tracked for use?	Field risk data on specific models and configurations, plus utilization data	ProSecure for IoMT pre-purchase risk, and medical device utilization tracking
Can the platform produce evidence for audits, regulators, and the board?	Mapping to named frameworks and a record of enforcement	Compliance mapping for frameworks including HIPAA, NIST, and CIS, plus an auditable record of enforcement effectiveness

 

Frequently Asked Questions About IoMT Security Vendors

How Do IoMT Security Platforms Differ From Traditional IT Security Tools?

IoMT security platforms are designed for devices that cannot run agents, cannot tolerate aggressive scanning, and often cannot be patched. They identify devices from network data, understand clinical protocols, and recommend compensating controls such as segmentation. Traditional IT tools assume they can install software and patch on schedule, which most medical devices do not allow.

Do IoMT Security Platforms Require Agents or New Network Hardware?

Dedicated IoMT security platforms are generally agentless and collect data from the existing network, so nothing is installed on medical devices. Data collection options vary by vendor, so ask what each deployment requires at every site. Asimily works through the infrastructure the health system already runs, including its NAC for policy enforcement.

Can an IoMT Security Platform Use My Existing NAC?

Yes. Several IoMT security platforms integrate with NAC systems such as Cisco ISE, Aruba ClearPass, and Arista. The difference is how much of the work the platform takes on. Asimily’s Segmentation Orchestration generates policy in the NAC’s native format, simulates it against observed traffic, applies it, and keeps it current, with the NAC as the enforcement point.

Choosing a Vendor That Moves From Findings to Enforced Policy

An IoMT security vendor earns its place by reducing risk on the devices that matter most, in a way clinical teams will approve. The evaluation that gets there follows the same order the program will: confirm the inventory, test the prioritization, and then watch a policy move from recommendation to simulation to enforcement on infrastructure the health system already owns.

Asimily’s Proactive Cyber Asset Defense Platform is built around that path for IoT, OT, IoMT, and IT devices, with capabilities designed for healthcare environments.

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