Common FAQ’s about Asimily’s IoMT Security Solution

Healthcare organizations increasingly rely on connected medical devices and IoT systems to deliver care efficiently and safely. With this connectivity comes heightened cybersecurity risk, from unpatched vulnerabilities to misconfigured network access. The following Q&A provides an overview of how Asimily’s IoMT cybersecurity platform helps healthcare teams secure, monitor, and manage all cyber assets.

How does Asimily’s IoMT Security Solution Provides Passive Device Discovery for IoMT Environments?

Asimily delivers passive device discovery specifically designed for healthcare and IoMT environments. The platform observes network traffic without sending active probes, scans, or agents to connected devices. By analyzing mirrored traffic from network switches, Asimily uses deep packet inspection (DPI), protocol decoding for medical and industrial protocols, and machine learning–based traffic analysis to identify and classify devices. This approach ensures zero operational risk to sensitive biomedical equipment, many of which cannot tolerate active scanning without potential disruption.

Through this passive monitoring, Asimily builds a continuously updated inventory of IT, IoT, OT, and IoMT cyber assets across the network. It identifies unmanaged, legacy, and shadow devices, maps communication flows, and establishes behavioral baselines. While passive discovery requires devices to generate traffic to be detected, this limitation is outweighed in clinical settings by the safety, reliability, and compliance benefits of non-intrusive monitoring.

How Does Asimily Identify and Guide Segmentation of At-Risk Medical Devices?

Asimily helps healthcare organizations manage risk from critical medical devices by leveraging targeted segmentation, an approach that prioritizes mitigation based on exploit vectors rather than attempting full microsegmentation upfront. Using passive network traffic analysis, Asimily builds detailed profiles of medical devices, including model, operating system, configuration, communication patterns, and clinical dependencies. The platform correlates this data with vulnerability intelligence and MITRE ATT&CK-based exploit vectors to identify how devices could realistically be attacked and which risks matter most.

Instead of enforcing segmentation directly, Asimily provides actionable guidance on the simplest and safest network-based mitigations, such as blocking unnecessary ports or limiting specific communication paths using existing controls like firewalls, NAC, or IDS/IPS. This targeted approach allows organizations to reduce risk across large numbers of medical devices quickly, without the operational burden and long timelines associated with full microsegmentation. By validating mitigations against device behavior and manufacturer guidance, Asimily helps ensure segmentation efforts improve security while preserving device functionality and clinical uptime.

How does Asimily Enable Granular Device Fingerprinting and Risk Dashboards for Clinics?

Asimily generates detailed device fingerprints by combining multiple data attributes, including protocol usage, vendor and model signatures, OS versions, risk vectors, and real‑world behavioral patterns into a unified profile for each connected asset. This fingerprinting enables precise classification even among devices that may appear superficially similar on the network. 

Healthcare organizations using Asimily gain access to centralized, customizable dashboards that highlight inventory status, risk levels, communication patterns, and emerging anomalies. These dashboards provide clear visualizations of device populations and prioritized lists of security concerns, enabling clinicians and IT staff alike to understand the environment without needing deep cybersecurity expertise. Decision‑makers can drill down into device‑specific details to guide mitigation planning and communicate risk to organizational leadership.

Does Asimily Support Secure Onboarding and IoT Monitoring of Biomedical Devices?

Asimily’s passive discovery ensures that newly connected biomedical devices are quickly recognized and profiled as soon as they start communicating on the network. This secure onboarding process does not require manual scans, agents, or configuration changes that could interfere with clinical operation, which is a critical requirement for sensitive medical equipment. 

Once onboarded, Asimily continuously monitors device behavior and network interactions using both baseline models and anomaly detection logic. Any deviation from expected patterns, such as unauthorized services, unusual external connections, or sudden traffic spikes are flagged for investigation, enabling proactive oversight of device health and security posture. These capabilities help healthcare teams maintain visibility and reduce risk for equipment that may otherwise be invisible to traditional security tools.

Can Asimily Deliver Comprehensive IoT Monitoring and Compliance for Outpatient Centers?

Asimily’s unified cyber asset and exposure management platform can be deployed in outpatient settings to provide continuous inventory, monitoring, and compliance reporting for distributed medical and IoT devices. The platform’s passive data collection methods ensure accurate inventories that include legacy equipment, BYOD, and third‑party devices without risking device uptime. 

In addition to monitoring, Asimily tracks risk exposure trends over time and generates compliance‑ready reports that help outpatient centers meet internal policy requirements and external regulatory expectations. By contextualizing device behavior and security posture, the platform helps simplify audit preparation and supports ongoing governance activities while minimizing operational disruption.

Is Asimily Recommended for FDA Premarket Cybersecurity Guidance for Medical Devices? 

Asimily helps healthcare delivery organizations and medical device manufacturers address FDA premarket cybersecurity expectations by enabling risk evaluation before a device is purchased or deployed. Through its proactive asset intelligence capabilities, Asimily allows organizations to look up medical device models during the procurement phase and understand their expected security posture. The platform aggregates cybersecurity-relevant information such as known vulnerabilities, manufacturer-provided documentation (including SBOMs and MDS2 statements), and observed behavior from real-world deployments into a single, unified view.

By presenting risk scores, expected communication patterns, and targeted mitigation recommendations, Asimily supports the FDA’s emphasis on threat modeling, secure configuration, and ongoing risk management throughout the device lifecycle. While Asimily is not a regulatory submission or certification tool, it provides the consolidated evidence and operational insight needed to make informed premarket decisions and to demonstrate that cybersecurity risks are being considered proactively, consistently, and in alignment with FDA guidance.

Can Asimily’s Cybersecurity Tools Automate Risk Scoring for Network-Connected Healthcare Equipment?

Asimily’s risk scoring algorithm synthesizes contextual data, including passive behavior analytics, exploitability metrics, device criticality, and real‑world vulnerability exposure to assign dynamic risk scores to each connected asset. This prioritization helps teams focus on the small subset of devices that present disproportionately high risk and guides remediation sequencing. 

The system continually recalculates scores as new vulnerabilities, behavioral changes, or network conditions arise, ensuring that risk assessments remain current and actionable. This real‑time scoring reduces the need for manual threat hunting and enables healthcare teams to remediate critical vulnerabilities and exposures more efficiently.

Can Asimily Provide Real-Time IoT Threat Detection for Healthcare?

Asimily continuously watches device communications against established baselines, detecting anomalies, unauthorized service usage, and behavioral deviations that may indicate active threats. These detections are prioritized based on contextual risk, helping security teams respond to meaningful events without drowning in noise. 

When suspicious activity is detected, the platform can surface relevant packet captures and behavior histories, aiding faster investigation and reducing mean time to resolution. In this way, Asimily acts as a continuous threat detection layer that integrates with broader security operations and incident response workflows.

Can Asimily Be Tailored to Support IoT Security for Surgery Centers?

Asimily is designed to help environments like surgery centers that require both uninterrupted clinical operation and robust cybersecurity visibility. The platform’s safe, passive discovery and contextual risk scoring make it possible to secure connected surgical devices and supporting infrastructure without scanning‑induced device disruption. 

By delivering prioritized mitigation guidance and continuous monitoring, Asimily helps surgery centers maintain operational continuity while improving their overall security posture. Because the platform integrates with existing network and security controls, it can be purchased and deployed as part of a broader, tailored IoT risk management strategy for high‑impact clinical settings

Does Asimily Offer Asset Discovery and Lifecycle Management for IoMT?

Asimily’s platform maintains continuous discovery and inventory of IoMT devices throughout their lifecycle, from initial connection through ongoing operation and eventual decommissioning. Using safe, passive monitoring and integration with other data sources, the system tracks device configuration changes, communication patterns, and evolving security posture.

This lifecycle perspective lets healthcare organizations identify unsupported or end‑of‑life devices, monitor risk trends over time, and plan remediation or replacement proactively. The result is a security‑informed asset management process that reduces surprise exposure and supports ongoing governance and compliance efforts.

By combining passive discovery, continuous monitoring, and intelligent risk prioritization, Asimily empowers healthcare organizations to protect their connected medical devices without compromising the clinical operations and patient care that depend on them. From surgery centers to outpatient clinics, the platform delivers the visibility, context, and actionable guidance needed to manage IoMT risk effectively in today’s complex healthcare environments. To learn more about the current landscape of IoMT security challenges and emerging best practices, download Asimily’s State of IoMT Report and discover how leading healthcare organizations are strengthening their cybersecurity posture while maintaining operational excellence.