IoMT Risk Scoring Tools: Key Players in 2026
Post Summary
IoMT (Internet of Medical Things) risk scoring tools are essential for securing connected medical devices in healthcare, which now account for 50–75% of hospital network endpoints. These devices face rising threats, including a 437% increase in remote code execution attacks since 2023. Traditional IT security tools fall short in addressing the unique challenges of IoMT, such as clinical safety and compliance with strict regulations like FDA Section 524B.
Here’s a quick look at the leading IoMT risk scoring tools in 2026:
- Censinet RiskOps™: Tailored for healthcare, it automates third-party risk assessments and integrates clinical context for better decision-making. It excels in regulatory compliance but lacks real-time threat detection, a common gap in the third-party healthcare ecosystem.
- ORDR: Uses passive, agentless monitoring to classify devices and assess risk based on network behavior. Quick to deploy but depends on third-party tools for enforcement.
- Claroty Medigate: Combines technical risk evaluation with patient safety considerations. Offers deep protocol analysis but comes with high costs and complex setup.
- Asimily: Focuses on prioritizing vulnerabilities relevant to clinical environments. Known for accuracy but limited experience in large hospitals.
- Armis Centrix: Provides unified visibility for IT and IoMT devices. Strong in threat detection but needs refinement for medical device-specific risks.
Key takeaway: Each tool addresses specific needs, from regulatory compliance to real-time monitoring. Your choice should align with your organization’s priorities and the scale of your IoMT ecosystem.
Quick Comparison
| Tool | Strengths | Weaknesses | KLAS 2026 Score |
|---|---|---|---|
| Censinet RiskOps™ | Healthcare-specific frameworks, regulatory compliance | No real-time threat detection | N/A |
| ORDR | Passive monitoring, fast deployment | Requires third-party tools for action | 89.4 |
| Claroty Medigate | Protocol-level analysis, clinical focus | High cost, complex configuration | 92.1 |
| Asimily | Accurate risk prioritization | Limited track record in large hospitals | 96.6 |
| Armis Centrix | Unified IT/IoMT visibility | Less tailored for medical devices | 91.1 |
Each tool offers unique strengths, so assess your organization's needs carefully to select the most effective solution.
Top IoMT Risk Scoring Tools Compared: KLAS 2026 Scores & Key Features
1. Censinet RiskOps™
Censinet RiskOps™ is a risk management platform tailored specifically for the healthcare sector, addressing the unique challenges of complex clinical environments. Unlike generalized GRC tools that often require extensive customization, RiskOps is pre-configured with healthcare-specific frameworks like HIPAA, NIST CSF, HITRUST, and FDA medical device guidance. It also holds recognition from the AHA Preferred Cybersecurity Provider Program.
Risk Scoring Methodology
RiskOps calculates risk scores at multiple levels - vendor, product, and portfolio - using a combination of curated questionnaires, intrinsic risk factors, and control maturity evaluations. For medical devices, the platform streamlines the process by automatically ingesting MDS2 forms (both 2013 and 2019 versions), eliminating manual data entry while standardizing security assessments. Risk scores are updated in real-time as vendor responses or security conditions evolve, ensuring assessments reflect the current risk landscape rather than a static snapshot.
The platform’s Digital Risk Catalog™ features over 50,000 pre-assessed vendors and products, providing instant access to risk profiles. This reduces the time needed for evaluations, with initial third-party vendor risk management assessments typically completed in less than 10 days and follow-ups averaging under a day [2].
Clinical Impact Integration
RiskOps organizes vendors and devices into risk tiers - Critical, High, and lower - based on their clinical importance, business necessity, and exposure to Protected Health Information (PHI). For example, a network-connected infusion pump in an ICU would be treated differently than a back-office scheduling tool, even if they share similar technical vulnerabilities. When risks involve medical devices, the system routes Corrective Action Plans (CAPs) to BioMed staff instead of IT, ensuring the issue is addressed by the appropriate team. These targeted risk tiers provide a foundation for deeper analysis in subsequent sections.
Data Inputs and Outputs
RiskOps™ integrates diverse data sources throughout its risk scoring process, as summarized below:
| Category | Inputs | Outputs |
|---|---|---|
| Risk Assessment | MDS2 forms, curated IoMT questionnaires, BAAs, evidence uploads | Automated risk ratings, residual risk scores, summary reports |
| Remediation | Vendor responses, internal SME feedback | Automated CAPs, in-platform remediation tracking |
| Monitoring | Breach alerts, ransomware notifications, Nth-party cloud data | Risk flags for known exploits (e.g., Log4j), portfolio-wide alerts |
| Governance | Longitudinal risk records, peer benchmarking data | Board-ready dashboards, live residual risk views |
The platform extends visibility to Nth-party risks by monitoring cloud providers that IoMT vendors depend on, addressing a crucial vulnerability in medical device supply chains.
Operational Use Cases
RiskOps proves especially useful for healthcare delivery organizations (HDOs) managing large inventories of diverse devices. Common applications include evaluating a new imaging system before purchase, reassessing an older bedside monitor after a vulnerability is disclosed, or comparing vendor security postures during contract negotiations. Its "assess once, share many" model enables vendors to complete a single assessment and share it with multiple HDOs, minimizing redundant efforts and speeding up procurement decisions [3]. This efficiency is critical given the economic impact of third-party risk on healthcare budgets.
"Censinet RiskOps™ is the first and only cloud‑based risk exchange that enables seamless and secure sharing of cybersecurity and risk data across a collaborative network of healthcare delivery organizations (HDOs) and third‑party vendors." - Censinet [1]
To maximize efficiency, start by categorizing IoMT inventory based on inherent risk factors such as PHI access, network connectivity, and clinical importance. This prioritization ensures remediation efforts align with critical clinical needs, reinforcing RiskOps™' focus on integrating cybersecurity with healthcare priorities.
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2. ORDR AI-Based Medical Device Risk Scoring
ORDR uses a passive, agentless approach through its Systems Control Engine (SCE) to monitor medical devices. Instead of performing active scans - which can potentially disrupt critical devices - ORDR analyzes network traffic silently. By examining over 60 healthcare-specific protocols, it identifies and classifies devices while creating behavioral baselines, all without directly interacting with the devices themselves [6][7]. Its AI is powered by a database containing 100 million device profiles, enabling it to detect and categorize assets that other tools might overlook [7].
Risk Scoring Methodology
ORDR’s risk scoring goes beyond traditional CVSS ratings. The platform combines CVEs, manufacturer advisories, real-time device behavior, and network exposure to deliver a prioritized risk assessment [7]. For example, a ventilator with a medium CVSS score might rank higher than a low-priority, low-traffic device due to its clinical importance. Security teams can also utilize ORDR IQ, a query tool that translates complex data into plain-language insights, offering actionable recommendations without requiring extensive data analysis [5].
Clinical Impact Integration
ORDR evaluates risk by factoring in both operational and patient safety considerations. It integrates with clinical systems like Epic and Cerner EHRs, as well as CMMS platforms such as Nuvolo, to understand how devices are used in real-world settings before assigning priority [7]. This added context allows security and biomedical teams to focus on the most critical assets.
"Our role is really about bringing devices in at a level of risk that we're comfortable with. ORDR helps us figure out how to manage that risk appropriately, it's about care delivery at the end of the day." - Kevin Tambascio, Cleveland Clinic [7]
Data Inputs and Outputs
| Category | Inputs | Outputs |
|---|---|---|
| Discovery | Passive network traffic, 60+ healthcare protocols | Real-time device inventory, behavioral baselines |
| Risk Scoring | CVEs, manufacturer advisories, clinical context, device behavior | Risk-prioritized scores, anomaly alerts |
| Remediation | Communication patterns, segmentation rules | Enforcement-ready segmentation policies |
| Compliance | Device activity logs, configuration data | Automated HIPAA- and FDA-ready audit reports |
Operational Use Cases
ORDR achieves full device visibility within 48 to 72 hours of deployment [7]. For example, Cleveland Clinic used ORDR in 2026 to monitor 10–15 connected medical devices per hospital room. This allowed them to maintain real-time inventory and gain behavior-based insights across their complex network without disrupting patient care [7]. Similarly, CHRISTUS Health leveraged ORDR’s device communication data with VMware NSX to speed up data center micro-segmentation, a task that typically takes 12 to 24 months [7].
"With ORDR and VMware, we can understand how devices communicate with data center workloads, quickly identify unmanaged devices, and streamline policy generation, while minimizing business impact." - Brandon Rivera, CHRISTUS Health [7]
ORDR also includes a policy simulation feature, enabling teams to test segmentation rules before implementation. This step ensures that clinical workflows remain unaffected by policy changes, reducing the risk of accidental disruptions to production systems [5]. This thoughtful approach sets ORDR apart as we examine other players in the IoMT risk scoring space.
3. Claroty Medigate
Claroty Medigate, an integral part of the xDome platform, has been recognized as "Best in KLAS" for Healthcare IoT Security (2023–2026) and named a Leader in the 2026 Gartner® Magic Quadrant™ for CPS Protection Platforms [4][8]. Its design addresses a critical gap: traditional IT security tools often fail to differentiate between a standard workstation and a device vital to patient care, creating unnecessary risks. Medigate stands out by uniquely combining technical risk evaluations with an understanding of clinical impact to protect life-critical devices.
Risk Scoring Methodology
Medigate’s approach to risk scoring is rooted in balancing technical vulnerabilities with patient safety considerations.
The framework assesses devices based on two dimensions: likelihood of exploitation and severity of impact [9]. Likelihood is determined using passive deep packet inspection (DPI), which analyzes device operating systems, proprietary clinical protocols, embedded software, and communication patterns - all without disrupting sensitive equipment. Severity factors in FDA medical device classifications (Class I, II, or III), the presence of sensitive data like PHI/PII, potential patient harm, and even the device’s monetary value, which could make it a target for ransomware [9].
Scores start at zero and increase with risky attributes (e.g., wireless connectivity, known CVEs) while decreasing when mitigating controls are in place (e.g., gateway connections). To further refine prioritization, the system cross-references the Known Exploited Vulnerabilities (KEV) catalog and Exploit Prediction Scoring System (EPSS) to identify vulnerabilities likely to be exploited within 30 days [12]. This is crucial since, in 2022, nearly 70% of CPS vulnerabilities were rated high or critical by CVSS, yet less than 8% were actively exploited [12].
"The Medigate Risk Scoring Framework marries extensive clinical AND cybersecurity expertise to pinpoint the concrete factors that indicate the likelihood of a breach in a device on the clinical network and the severity of its impacts." - Tom Finn, Claroty [9]
Beyond numerical scores, Medigate focuses on real-world clinical consequences.
Clinical Impact Integration
One of Medigate’s defining features is its clinical awareness. It doesn’t treat all devices equally but instead differentiates between, say, a general workstation and a life-sustaining infusion pump. This allows it to assess the real-world impact of a security breach. The platform offers clinically aware remediation guidance, ensuring that recommended actions - like patches or network segmentation - don’t disrupt patient care or void manufacturer warranties [8][9]. Claroty’s analysis of over 20 million OT, IoMT, IT, and IoT assets revealed that 38% of the highest-risk devices are overlooked by traditional CVSS-based vulnerability management systems [13].
Data Inputs and Outputs
| Input Category | Key Data Inputs |
|---|---|
| Device Identity | Modality, make, model, serial number, MAC address |
| Technical Specs | OS version, embedded software, clinical protocols |
| Network Context | SSID, access point location, connection type |
| Clinical Context | FDA class, PHI/PII status, patient harm potential |
| Threat Intelligence | Published CVEs, KEV catalog, EPSS scores |
The platform’s outputs include risk levels (from Very Low to Critical), vulnerability prioritization reports, risk simulations, and actionable remediation recommendations tailored to clinical needs. It can also incorporate additional data - like MDS2 forms, SBOMs, and VEX files - to build more detailed device profiles beyond what network data alone can provide [8][9][11].
Operational Use Cases
In 2026, Ohio State University Wexner Medical Center adopted Claroty xDome to improve exposure management across its healthcare network. Using the platform’s risk simulation tools, the center was able to prioritize remediation efforts without disrupting clinical workflows [8]. Similarly, the Provincial Health Services Authority (PHSA) and Fraser Health Authority in Canada leveraged xDome to enhance their cybersecurity measures and meet local compliance standards [8].
For biomedical engineering teams, the xDome dashboard offers filtering options by device type - such as MRI machines or IV pumps - allowing teams to focus on the assets they manage directly. Organizations can also compare their total risk scores with peers of similar size, giving security leaders a clear way to measure progress over time [10].
4. Asimily Risk-Based Vulnerability Prioritization
Asimily sets itself apart from most IoMT security platforms by focusing on the vulnerabilities that truly matter, rather than flagging every single one. Ranked #1 in the KLAS 2026 Healthcare IoT Security report with an impressive score of 96.6 [16], the platform uses proprietary AI/ML and NLP to evaluate vulnerabilities in the context of each device's specific configuration and network environment [14][15].
Risk Scoring Methodology
Asimily assigns each device a score between 0 and 100, factoring in the likelihood of exploitation and the potential impact. This evaluation considers the device's criticality and its position within the network [15]. By combining exploitation likelihood with MITRE ATT&CK mapping, the platform provides a practical risk score, moving beyond generic CVE severity ratings [14][15].
The Risk Simulator feature allows teams to model the outcomes of mitigation efforts, helping prioritize actions that reduce risk while minimizing operational disruptions [14][15]. These scores directly support clinical prioritization, ensuring that remediation efforts focus on protecting patient safety.
Clinical Impact Integration
The platform's scoring system goes a step further by integrating clinical risk factors. It distinguishes vulnerabilities based on the device's purpose, network exposure, and potential impact on patient safety. This approach ensures that not all vulnerabilities are treated equally, recognizing that clinical threats vary by context [16]. Additionally, Asimily's ProSecure functionality enables pre-purchase risk assessments of medical devices, helping healthcare organizations evaluate risks before devices are introduced into clinical environments [4].
"Using the Asimily Risk Management Platform, we gained full visibility into connected IoT and IoMT devices and their associated vulnerabilities. Our security program achieved 98% NIST compliance while the average of 60 similar HDOs is 71%." - Kevin Torres, VP of IT/CISO, MemorialCare [14]
Data Inputs and Outputs
Asimily collects device data passively using protocol-based, API-based, and integration-based methods - no agents required. This approach covers IT, IoT, OT, and IoMT assets [14]. The collected data is transformed into actionable outputs, such as ranked remediation instructions, automated network segmentation policies through Smart Policy Management, and anomaly detection with packet capture for incident response [14][15].
Operational Use Cases
The benefits of Asimily's methodology and clinical integration are evident in its results. Customers often eliminate over 10,000 high-risk vulnerabilities within the first three months of deployment [14]. For example, Richard Ingersoll, Director of IS at St. Lawrence Health, highlighted that the platform's automated prioritization saves the workload equivalent to at least one full-time employee [14]. Similarly, Methodist Le Bonheur Healthcare uses Asimily as its single visibility layer across six locations, removing the need for manual device tracking throughout its network [14].
5. Armis Centrix
Armis Centrix stands out with its integrated approach to asset intelligence, covering IT, IoT, OT, and medical devices. It earned a KLAS 2026 score of 91.1 for Medical Device Security [16] and secured fourth place in the 2026 IoMT Security Platform Rankings [4]. Its recent multi-billion-dollar acquisition highlights the increasing importance of merging device security with IT service management workflows.
Risk Scoring Methodology
The platform calculates risk scores by analyzing behavioral baselines and detecting anomalies. Using its cloud-based Asset Intelligence Engine, which tracks over 3 billion device profiles, it identifies what constitutes normal device behavior and critical medical device security risks [16]. For example, if an infusion pump establishes an unexpected external connection, the system flags it as a risk. Factors influencing scores include risk identification, policy enforcement, and threat intelligence [16]. However, some users have mentioned that the remediation guidance could be more tailored to clinical requirements compared to other specialized platforms [4].
Clinical Impact Integration
Armis Centrix goes beyond technical metrics by incorporating clinical context into its risk assessments. It provides extensive visibility into both IT and medical devices while excelling in threat detection [4]. According to the ORDR 2026 Rankings, healthcare users noted, "the platform demonstrates stronger performance for general IT assets compared to specialized medical equipment" [4]. This distinction is crucial for environments where devices like imaging systems and patient monitors demand specific risk evaluation criteria.
Data Inputs and Outputs
Armis Centrix uses agentless discovery to identify and classify devices without requiring software installation, ensuring clinical workflows remain uninterrupted [16]. It continuously monitors device behavior through passive network observation, flagging anomalies in real time. Outputs include real-time anomaly alerts, prioritized vulnerability management, compliance reporting aligned with HIPAA and FDA standards, and automated remediation workflows. These features help security teams shift from reactive responses to proactive security measures, making it adaptable across various healthcare environments.
Operational Use Cases
With its advanced risk scoring and clinical insights, Armis Centrix provides unified visibility across diverse device types. It is particularly effective for health systems aligned with the ServiceNow ecosystem [16]. Primary use cases include monitoring biomedical devices, safeguarding patient data, and reducing costs associated with security incidents through early threat detection. Its scalability and wide-ranging capabilities make it a strong choice for teams managing complex and large-scale environments.
Pros and Cons
This section provides a balanced overview of the strengths and limitations of each tool, based on their risk scoring methodologies and features.
Censinet RiskOps™ stands out for its strong board-level reporting and alignment with HHS 405(d) and NIST CSF 2.0 standards. However, it lacks real-time threat detection, which means users may need an additional monitoring solution to address this gap.
ORDR is known for its ease of use and passive discovery capabilities, allowing for quick and non-intrusive deployment. It secures close to 2,000,000 devices but relies on third-party integrations, such as NAC or SIEM, for enforcement.
Claroty Medigate excels in protocol analysis, covering over 900 protocols, and has been recognized as Best in KLAS for four consecutive years. On the downside, it comes with a steep learning curve and high enterprise configuration costs, which can reach up to $150,000 per user, making it a challenging option for some organizations.
Asimily leads in accuracy, achieving the highest KLAS 2026 score of 96.6 for Healthcare IoT Security. Its context-aware risk modeling and pre-purchase ProSecure assessments are particularly effective. However, its customer base is primarily mid-sized systems, with limited evidence of success in hospitals exceeding 2,000 beds [4][16].
Armis Centrix offers unified visibility for IT and IoMT assets through its cloud-based platform, with added benefits like an upcoming ServiceNow integration following its $7.75 billion acquisition. Despite its strengths, it performs better with general IT assets than specialized medical devices and may require manual adjustments [4].
| Tool | Primary Strength | Key Weakness | KLAS 2026 Score |
|---|---|---|---|
| Censinet RiskOps™ | Regulatory alignment & board reporting | No real-time threat detection | N/A |
| ORDR | Device discovery & easy deployment | Requires third-party integrations for action | 89.4 [16] |
| Claroty Medigate | Comprehensive protocol analysis | High cost & complex configuration | 92.1 [16] |
| Asimily | Contextual risk modeling & accuracy | Limited track record in large hospitals | 96.6 [16] |
| Armis Centrix | Unified IT and IoMT visibility | Needs tuning for medical device performance | 91.1 [16] |
These comparisons highlight the trade-offs organizations face when selecting cybersecurity tools to manage the intricate IoMT ecosystem effectively.
Conclusion
Selecting the right IoMT risk scoring tool comes down to understanding your organization’s specific needs and priorities. A thorough evaluation of each platform highlights that a well-suited solution should combine detailed device assessments with a strong clinical focus.
Censinet RiskOps™ stands out for its focus on healthcare complexity, offering tools like its Digital Risk Catalog™ and automated Corrective Action Plans to ensure regulatory compliance and enterprise-wide risk oversight [2]. ORDR specializes in real-time device discovery using passive, agentless monitoring. Claroty Medigate emphasizes clinical context and protocol-level threat intelligence. Asimily shines in prioritizing vulnerabilities based on context and conducting pre-purchase device evaluations. Meanwhile, Armis Centrix delivers unified visibility for both IT and IoMT assets through a consolidated, cloud-based platform.
Each tool brings something unique to the table, so your decision should reflect your facility’s top priorities - whether that’s staying compliant, identifying devices, or addressing vulnerabilities. Aligning the tool with your organization’s specific clinical and cybersecurity goals will ensure stronger, long-term protection.
FAQs
What data do IoMT risk scoring tools need to calculate risk accurately?
To function effectively, IoMT (Internet of Medical Things) risk scoring tools rely on a variety of data points. These include:
- Device vulnerabilities: Information on potential weaknesses that could be exploited.
- Cybersecurity risks: Insights into potential threats and how they might impact devices.
- Compliance status: Data confirming whether devices meet industry regulations and standards.
- Device architecture: Details about the design and structure of the devices in use.
- Vendor security practices: An understanding of how manufacturers address security concerns.
- Real-time monitoring: Continuous tracking to identify and respond to threats as they arise.
By gathering and analyzing this data, these tools can assess risks more effectively, providing accurate calculations to help manage and mitigate potential threats in healthcare settings.
How can IoMT risk scores be tied to patient safety and clinical workflows?
Integrating Internet of Medical Things (IoMT) risk scores into patient safety measures and clinical workflows ensures that connected medical devices function without jeopardizing care. By analyzing real-time data, effective tools can identify vulnerabilities and evaluate risks within specific workflows. Automated risk assessment solutions, for instance, enable healthcare providers to prioritize threats, take action like segmenting devices or applying updates, and align cybersecurity efforts with safety protocols. This approach strengthens resilience and minimizes potential harm to patients.
How do we choose between a compliance-focused platform and real-time device monitoring?
Choosing the right tool often comes down to what your organization prioritizes. Compliance-focused platforms are designed to simplify regulatory requirements like HIPAA or FDA guidelines, making audits smoother and cutting down on manual work. On the other hand, real-time device monitoring tools are all about staying ahead of potential threats, offering constant surveillance and swift responses to security incidents.
For many organizations, the best solution is a combination of both. This allows them to stay compliant with regulations while also actively managing risks and maintaining operational security. It’s about finding the balance between meeting legal standards and being prepared for unexpected challenges.
