IoT Healthcare Solutions: Use Cases, Risks, and How to Secure Them

Connected devices now sit at the center of how care gets delivered. Infusion pumps, imaging systems, patient monitors, and building controls all run on the network, and each one improves clinical efficiency while widening the surface an attacker can reach. For the security leader, the hard part is no longer adopting these technologies. It is knowing what is connected, understanding which devices actually carry risk, and acting on that risk without interrupting the clinical work that depends on those same devices.

This guide explains what IoT healthcare solutions are, where they create value and exposure, and how to evaluate a platform that can secure connected care across IoT, OT, IoMT, and IT. It is written for the security leader who has to reduce risk and make the case for it internally.

What are IoT Healthcare Solutions?

In healthcare, the Internet of Things spans far more than consumer gadgets. It includes the Internet of Medical Things (IoMT), the connected clinical devices that touch patient care, alongside operational technology (OT) that runs facilities, and the broader IoT and IT estate that ties everything together. IoT healthcare solutions are the products and platforms that discover, manage, and secure these devices across their full lifecycle.

The category covers two related needs. The first is enabling the devices: the clinical and operational systems that deliver remote monitoring, diagnostics, and automation. The second, and the focus of this guide, is securing and managing them: the visibility, risk analysis, and enforcement that keep those devices safe without disrupting the care they support. A serious IoT healthcare program treats both as one problem, because a device that cannot be secured cannot be trusted in a clinical setting.

Related: 10 IoT Healthcare Examples and Their Security Implications

Common IoT Healthcare Use Cases

Connected devices appear in nearly every part of a modern health system. The most common categories include:

• Remote patient monitoring devices that track vital signs and chronic conditions outside the hospital, extending care into the home.
• Connected clinical equipment, such as infusion pumps, imaging systems, patient monitors, and diagnostic analyzers, that integrate directly with electronic health records.
• Real-time location systems and asset tracking that help staff locate equipment, manage utilization, and reduce loss.
• Smart facility and building systems, an OT layer that includes HVAC, power, access control, and environmental monitoring tied to patient safety.
• Administrative and IT endpoints that share the network with clinical systems and often provide the initial foothold for lateral movement.

Each of these delivers real clinical and operational value. Each also runs software, communicates over the network, and in many cases cannot accept a security agent or a routine patch. That combination is what turns a clinical advantage into a security problem.

Why Securing Healthcare IoT Is Difficult

Healthcare IoT is harder to secure than a standard IT environment, and the reasons are structural rather than a matter of effort.

Many connected medical devices cannot run endpoint security software, cannot be patched on a normal cycle, and communicate over clinical protocols such as HL7 and DICOM that general-purpose IT tools do not interpret. A large share of devices in active clinical use run legacy operating systems with no available updates. Networks are often relatively flat, so a device compromised in one area can be used to reach electronic health records or domain controllers elsewhere. And ownership is split: clinical engineering or HTM manages the devices, IT manages the network, and security manages threat detection, frequently with different tools and limited visibility into one another’s domains.

The practical consequence is that the foundation of any IoT healthcare solution has to be a complete, agentless, authoritative inventory captured safely and without disruption. Discovery that requires agents will miss exactly the medical, OT, and legacy devices that matter most, and any approach that risks interfering with a live clinical device will not survive contact with the people who own uptime. Deep packet inspection and other passive techniques support that inventory, but the outcome that matters is coverage that is complete and safe, not the mechanism used to achieve it.

Related: Healthcare Cyber Threats – The 2026 Landscape and How to Reduce Risk

What to Look for in an IoT Healthcare Solution

A connected device security program in healthcare lives or dies on its ability to move from knowing about risk to actually reducing it. Most programs stall in that gap: segmentation policies get written but never deployed, segmentation stays a priority but never fully implemented, and manual workflows cannot keep pace with a network that changes every day. The Cisco 2025 Segmentation Report captures the pattern well. Seventy-nine percent of organizations call segmentation a priority, yet only 33 percent have fully implemented it, and 87 percent say their segmentation needs improvement.

Use the following criteria to evaluate any IoT healthcare solution against that gap:

• Complete, agentless inventory of every connected device, including services, connections, and firmware, captured without disrupting clinical operations.
• Risk prioritization that reflects real exploitability, not raw severity scores, so the team works the small set of devices that actually drive risk rather than an undifferentiated list.
• Segmentation that can be generated, simulated, and enforced, so a policy can be validated against real traffic before it goes live and then deployed to the existing network infrastructure.
• Threat detection and response built for clinical environments, including the ability to investigate an incident with full forensic detail and contain a device without taking down patient care.
• Governance and compliance support are mapped to the frameworks that govern connected devices, with an auditable record of what was enforced and why.
• Pre-purchase risk evaluation, so device risk can be reduced before a device ever enters the environment, the most cost-effective point to act.

A solution that covers visibility but cannot enforce policy leaves the program stalled. A tool that enforces policy but cannot prioritize by risk wastes scarce staff time on the wrong devices. The point of the criteria above is to find the rare platform that closes the full loop.

How Asimily Approaches IoT Healthcare Solutions

Asimily is the Proactive Cyber Defense Platform across the cyber asset attack surface: IoT, OT, IoMT, and IT. It identifies the riskiest devices, prioritizes what matters, and continuously orchestrates the segmentation and mitigation actions that close exposures without disrupting operations. For a health system, that means the program does not stop at a dashboard of risks. It moves to enforced, maintained risk reduction.

Six capabilities support that approach, led by segmentation.

1. Asimily’s Segmentation Orchestration combines complete asset visibility, vulnerability prioritization, and automated policy enforcement in one platform. It generates conflict-free policies from observed device behavior rather than templates, previews impact against real traffic with Policy Simulation before any change goes live, and adapts continuously so enforcement never falls behind. It deploys to Cisco ISE, NAC, and firewall infrastructure, replacing multi-quarter manual segmentation efforts with always-current enforcement.
2. Inventory and Visibility provides a single, authoritative, continuously updated source of truth for every connected device, agentless and without gaps. Deep packet inspection, AI and ML classification, and multi-source correlation discover and categorize every IoT, OT, IoMT, and IT asset, including services, connections, and firmware versions. This inventory is the foundation every other capability builds on.
3. Vulnerability Prioritization uses Asimily’s proprietary ATT&CK Analysis, which, unlike generic CVSS scoring, determines whether a vulnerability is actually exploitable on a specific device in a specific environment and topology. The result is the riskiest devices identified with precision and a prioritized queue where every item has a documented reason for its ranking.
4. Risk Mitigation reduces risk quickly by combining segmentation, patching, and targeted mitigations, with guidance drawn from the MITRE ATT&CK framework, Asimily Labs research, and Asimily’s AI engine. Risk Simulator models the return on an action before it is executed.
5. Threat and Response keep devices running safely. The Intelligent Policy Engine continuously monitors for anomalous behavior, works alongside multiple threat intelligence sources, and allows custom rules without programming. Detection can trigger protective actions up to NAC-enforced quarantine. Asimily remains the only connected device security platform with native packet capture for forensic incident response, which shortens investigations and limits blast radius.
6. Governance, Risk, and Compliance maps to the laws and frameworks that govern connected devices, including HIPAA, NIST, CIS, NIS2, and CMMC. Configuration Control detects and restores from insecure drift, ProSecure helps prevent risky purchases before spend is committed, and Segmentation Orchestration adds an auditable record of enforcement effectiveness for board reviews and audits.

Related: Segmentation Orchestration

Related: Vulnerability Prioritization

Related: Incident Response Readiness with Packet Capture

How Asimily Compares to Other IoT Healthcare Solutions

No single vendor covers every layer of healthcare security, and the leading platforms each have genuine strengths. The honest way to choose is to match a platform’s method to the outcome you need. The independent 2026 Best in KLAS Healthcare IoT Security report, which is based on verified customer feedback entirely, gives a useful third-party reference point.

Vendor	2026 KLAS Healthcare IoT Security Score	Recognized Strengths	Where Asimily Differentiates
Asimily	96.6 (highest of all vendors)	Risk intelligence, healthcare alignment, and the top “Money’s Worth” rating.	The closed loop from exploitability-based prioritization to simulated, enforced segmentation
Claroty	92.1	Mature platform with a strong track record in medical device security due to the Medigate Acquisition.	ATT&CK exploitability analysis, segmentation orchestration deeply integrated with NAC tools, tied to real attack vectors. Asimily offers Configuration Control, IoT patching, and ProSecure pre-purchase risk avoidance.
Armis	91.1	Large incumbent solution in healthcare security and beyond. Hundreds of integrations across IT, IoT, OT, and healthcare.	Mature platform with a strong track record in medical device security due to the Medigate Acquisition
Ordr	89.4	Strong healthcare presence, common integrations supported, network-based enforcement, and many IT and security integrations.	Payload-level deep packet inspection, ATT&CK exploitability analysis, IoT patching, Configuration Control, and ProSecure pre-purchase risk avoidance

What Separates These Platforms

Most healthcare IoT evaluations turn on a handful of capabilities rather than the length of a feature list. The ones that tend to decide the outcome are:

• Discovery depth, meaning whether the platform reads full packet payloads and can actively query devices for detail, or relies on lighter passive collection and header inspection alone.
• Prioritization method, meaning whether vulnerabilities are ranked by real exploitability on a specific device in its actual topology, or by generic severity scores that ignore context.
• Enforcement, meaning whether segmentation can be generated, previewed against real traffic, and deployed to existing infrastructure, or stops at guidance and manual effort.
• Lifecycle controls, meaning whether the platform can patch devices, detect and reverse configuration drift, and reduce risk before a device is even purchased.
• Incident response, meaning whether the platform can capture forensic detail from a device during an investigation, or depends on separate tooling.

Asimily’s design centers on the first four capabilities working together and feeding the fifth, which is the closed loop that the rest of this comparison describes.

Asimily and Claroty

Claroty is a mature platform with a strong operational technology and medical device heritage due to its acquisition of Medigate. Asimily differentiates based on what happens after a device and its risk are visible, and on how risk mitigation is executed within the platform. Its proprietary MITRE ATT&CK Analysis determines whether a given vulnerability is actually exploitable on a specific device in a specific environment and topology, which shrinks the remediation queue to the smallest set that delivers the same risk reduction. From those same attack vectors, it builds targeted segmentation, and Policy Simulation previews the impact against real traffic before any policy goes live. It then extends past detection into lifecycle control, with Configuration Control that creates device snapshots and reverses insecure drift, IoT Patching and device password management, and ProSecure pre-purchase risk avoidance, capabilities that do not appear in the Claroty comparison. With Asimily, you can anticipate a program that not only sees all device risk, but also contains it proactively.

Asimily and Armis

Armis is an established player in connected-asset security, touting visibility across IT, IoT, OT, and healthcare, supported by hundreds of integrations. Its mitigation, however, is largely handled by routing tickets to other systems rather than acting on the device directly.

Asimily turns visibility into enforced reduction. Payload-level deep packet inspection and active querying produce a richer device context than passive header collection alone, which matters for the medical and legacy devices that reveal little on their own. The MITRE ATT&CK exploitability analysis ranks what truly matters rather than applying generic severity, and Risk Simulator models the return of a mitigation before it is executed. When action is needed, native packet capture accelerates forensic investigation, and IoT Patching and Configuration Control can remediate the device natively within the Asimily platform.

Asimily and Ordr

Ordr has a strong healthcare presence and broad IT and security integrations, which many health systems value. Its 2026 KLAS score of 89.4 reflects an established option, particularly for teams already standardized on Cisco infrastructure.

Asimily differentiates based on prioritization and lifecycle depth. MITRE ATT&CK exploitability analysis and payload-level inspection drive prioritization from full device context rather than lighter classification, IoT Patching reduces risk on devices that can be updated, Configuration Control adds device snapshots and automated drift detection, and ProSecure moves risk reduction earlier, to the procurement decision. Both platforms can capture packets and model risk, so the decision between them usually comes down to the depth of exploitability analysis and the breadth of lifecycle controls, along with the auditable record of enforcement that boards and regulators increasingly expect.

The Differentiators That Recur Across Every Comparison

A consistent set of capabilities separates Asimily across all three comparisons, and each ties to a specific mechanism rather than a label:

• MITRE ATT&CK Analysis & proprietary ML-driven analysis determines whether a vulnerability is actually exploitable on a specific device in your environment and topology, rather than ranking by generic severity, which reduces the remediation list to the smallest effective set.
• Segmentation is generated from observed device behavior, clinically validated, previewed against real traffic with Policy Simulation, deployed to Cisco ISE, NAC, and firewall infrastructure, and maintained continuously so enforcement does not fall behind.
• IoT Patching updates and manages devices and their credentials, with smart mitigation guidance for legacy devices that cannot be patched.
• Configuration Control creates device snapshots for recovery and automatically detects configuration drift, backed by a detailed change history for audits.
• ProSecure lets teams buy and configure the safest known medical devices and harden them by risk profile before they reach the network.
• Native packet capture from any device accelerates incident response and sets Asimily apart from platforms such as Armis and Claroty that rely on separate tooling for forensic capture.

Agentless coverage underpins all of this, reaching the medical, OT, and legacy devices across IoT, OT, IoMT, and IT that agent-based tools systematically miss.

Where Asimily Is Different by Design

This is where the decision dynamic resolves. Policy Simulation shows exactly which flows would be blocked before a change deploys, which is the proof that earns the trust of the colleagues who own uptime and moves a segmentation project from a standing priority to production. The 2026 KLAS results, including the top “Money’s Worth” rating, reflect what that closed loop produces in practice: measurable risk reduction that healthcare teams can act on without disrupting care.

Recognition and Proof

Asimily earned the highest overall performance score, 96.6 out of 100, in the 2026 Best in KLAS Healthcare IoT Security report, the top result among all evaluated vendors, and the highest rating in the report’s “Money’s Worth” category. KLAS rankings are based entirely on verified feedback from healthcare providers, which is why surveyed customers pointed specifically to Asimily’s effectiveness at identifying vulnerabilities and routing remediation tasks to the right teams.

Asimily is also highly rated by verified reviewers on Gartner Peer Insights, where customers cite its device identification, risk intelligence, and responsive support.

For the operational colleagues who hold an effective veto over anything that risks downtime, Policy Simulation is the proof point that matters. By showing exactly which flows would be blocked before any change deploys, it lets a security team earn the trust that the network will not break, which is what moves a segmentation project from priority to production.

Related: Get the Healthcare Cybersecurity Buyers Guide – Updated for 2026

Compliance and Regulatory Fit

Connected devices in healthcare are subject to a tightening set of requirements, including the HIPAA Security Rule, FDA expectations for medical device cybersecurity, and frameworks such as NIST, CIS, and emerging state-level hospital cybersecurity mandates. An IoT healthcare solution should make compliance a byproduct of good security rather than a separate project. Asimily maps controls to major frameworks and produces an auditable record of enforcement, so the same work that reduces risk also supports audits, regulatory inquiries, and board reporting.

Related: HIPAA Compliance

Related: FDA Compliance

Bringing It Together

Securing connected care comes down to closing the gap between knowing what is at risk and doing something about it. The health systems that succeed start with a complete, agentless inventory, understand which devices carry real risk, and enforce segmentation that limits what an attacker can reach, all without disrupting the clinical work those devices support. Asimily was built to close that loop across IoT, OT, IoMT, and IT, and the 2026 Best in KLAS results reflect how that translates into measurable outcomes for healthcare providers.

See how Asimily secures your connected healthcare infrastructure. Request a demo and talk to an Asimily healthcare security expert.