Introduction to IoMT Security
The modern hospital network looks nothing like it did a decade ago. Infusion pumps transmit dosing data to clinical dashboards, patient monitors stream vitals in real time, and pacemakers communicate wirelessly with external management systems. Connected devices have transformed care delivery and improved outcomes across every clinical setting.
They have also made healthcare one of the most targeted sectors for cybercriminals: ransomware attacks on healthcare surged 30% in 2025, with 293 recorded incidents against hospitals and direct care providers.
IoMT security refers to the technical controls, policies, and practices that protect these connected medical devices and the data they generate from unauthorized access, manipulation, and disruption. As hospital networks grow denser with connected technology, the security discipline that governs them is a priority for patient safety and continuity of care.
The IoMT devices behind the data
The Internet of Medical Things (IoMT) spans infusion pumps, cardiac monitors, imaging systems, wearable biosensors, surgical robotics, and remote diagnostic tools, among many others. These devices continuously collect and transmit protected health information (PHI) across hospital networks, and a significant number interact directly with patients.
That last detail is what separates IoMT security from standard enterprise IT security: in a conventional IT environment, a breach means compromised data; in a clinical one, it can mean a compromised patient. Every layer of an IoMT security program must be built around that reality.
Key Risks in IoMT Security
Healthcare organizations face a broad and evolving set of threats against connected medical devices, and when those attacks succeed, the impact is clinical as much as it is technical.
The combination of unpatched legacy systems, weak credentials, and always-on connectivity makes IoMT devices some of the most persistently exposed assets on any hospital network.
Attackers have learned exactly how to exploit these gaps, and their methods are well established:
- Ransomware: Attackers encrypt clinical systems and demand payment to restore access. When ransomware hits a hospital network, clinical systems can go offline for days: encrypted data, suspended access, and care diversions that affect patients well beyond the targeted facility.
- Unauthorized access: Weak or default credentials on IoMT devices give attackers a direct entry point into hospital networks from which they can reach far more sensitive systems through lateral movement.
- Man-in-the-middle attacks: When attackers flood device communication channels, monitors, infusion pumps, and diagnostic equipment can go dark at the moments clinicians need them most.
- Denial of service: Attackers flood device communication channels, taking monitors, infusion pumps, or diagnostic equipment offline at critical moments.
The technical damage of a successful attack is only the beginning. Once an attack lands on a hospital network, the fallout spreads well beyond the devices themselves, touching every dimension of the organization
- Patient safety: Disrupted clinical systems delay diagnoses and interrupt treatments. In documented cases, cyberattacks on hospital networks have contributed to increased patient mortality.
- Care continuity: Emergency diversions during active attacks redirect patients to neighboring facilities and spread disruption across entire regional health networks.
- Financial exposure: Single incidents can cost tens of millions of dollars when operational downtime, regulatory penalties, and remediation are factored in.
- Reputational damage: Healthcare organizations that suffer significant breaches face lasting erosion of patient trust on top of the operational fallout.
Best Practices for Securing IoMT Systems
The most resilient IoMT security programs share a common foundation: complete visibility into every device on the network, treated as an ongoing operational discipline rather than a one-time audit. That foundation starts with discovery.
Security teams need a complete, continuously updated inventory of every device on the network: its operating system, firmware version, communication protocols, known vulnerabilities, and end-of-life status.
That inventory must go further than a simple device list. Each device should be tiered by clinical criticality and security risk, so a life-critical infusion pump receives a fundamentally different level of protection than an administrative endpoint. Without that baseline, security resources get distributed evenly across unequal risks.
From there, a strong IoMT security architecture layers the following controls:
- Network segmentation and zero trust: Isolate IoMT devices from the broader hospital IT environment through microsegmentation rather than broad VLAN boundaries. Zero-Trust principles apply directly here: every access request should be verified regardless of where it originates on the network. When a clinical device is compromised, proper microsegmentation stops lateral movement and prevents attackers from reaching electronic health record (EHR) systems, administrative infrastructure, or other connected devices.
- Strong authentication and vendor access control: Eliminate default credentials on every device and enforce multifactor authentication (MFA) on any interface that manages or configures IoMT endpoints. Third-party vendor remote access is a consistent attack vector; it should run through controlled, time-limited, fully audited sessions rather than standing persistent connections.
- Encryption in transit: Enforce encrypted communications between devices and clinical systems to block data interception at the network layer. Unencrypted device traffic is among the most commonly exploited vulnerabilities in hospital networks.
- Patch management and compensating controls: Maintain a patching schedule aligned to clinical operational constraints. For legacy or unsupported devices that can’t be patched, deploy compensating controls: place them on isolated network segments, apply restrictive network filters, and track their exposure status explicitly. End-of-life devices should be replaced before security support lapses.
- Continuous behavioral monitoring: Behavioral monitoring establishes a real-time baseline for every device on the network and flags the moment activity falls outside normal parameters. A device that suddenly communicates with unfamiliar destinations, accesses data outside its usual scope, or responds in unexpected ways warrants immediate attention. Continuous monitoring surfaces these signals before a threat has time to develop.
- Incident response planning: Every IoMT security program needs healthcare-specific incident response procedures, including documented downtime protocols for when clinical systems go offline during an active attack. These procedures should be rehearsed through regular tabletop exercises. The resilient organizations that recover fastest from an event are the ones that worked through the scenario before it happened.
Importance of compliance and regulations
Regulatory frameworks set the minimum security requirements for IoMT devices and hold both manufacturers and healthcare providers accountable. Understanding those requirements and where they intersect is the starting point for any compliance program. There are also often local and federal best practices and regulations that you must abide by for the proper protection of devices. Consider the following key regulations in your strategy:
FDA Section 524B
The FDA requires manufacturers to integrate security across the total product lifecycle. Premarket submissions must include software bills of materials (SBOMs), documented threat models, and vulnerability management processes. This shifts accountability upstream toward the manufacturer, but healthcare providers still carry the responsibility to verify compliance before deploying any device on a clinical network.
HIPAA Security Rule
HIPAA's Security Rule sets the compliance baseline for protecting electronic protected health information at the provider level. For IoMT environments specifically, the rule's requirements around access controls, risk analysis, and incident response map directly to the security controls that clinical device programs need, regardless of regulatory obligation. Organizations that build their IoMT security programs around HIPAA's requirements establish the operational foundation that effective device security demands
NIST Cybersecurity Framework
The NIST Cybersecurity Framework and NIST SP 800-66 provide actionable guidance that maps directly to HIPAA compliance requirements. Organizations that structure their security programs around NIST controls are well-positioned to satisfy HIPAA audits and meet evolving CISA performance goals.
Future Trends in IoMT and Cybersecurity
The next phase of IoMT security is already underway. The tools available to security teams are changing rapidly, and so are the expectations around what effective clinical device protection looks like. Four developments in particular are worth watching closely.
Platform consolidation and clinical convergence
The most significant operational shift in IoMT protection is the move away from siloed, point solutions toward unified security platforms that cover IT, IoT, and IoMT assets from a single platform. This convergence reduces operational complexity and eliminates the coordination gaps between clinical engineering and security teams.
Secure over-the-air updates
Secure over-the-air (OTA) updates are also changing how healthcare organizations address one of IoMT security's most persistent challenges. Traditionally, patching a clinical device meant coordinating maintenance windows, obtaining vendor approvals, and in some cases taking equipment out of service entirely. Medical-grade OTA update capabilities let security teams push firmware and software updates across entire device fleets without disrupting clinical operations, closing the vulnerability windows that have historically stayed open for months or years.
AI and machine learning in IoMT
AI-powered defenses are an operational necessity now more than ever. AI-enabled adversary attacks increased 89% year-over-year as threat actors weaponized the technology across reconnaissance, credential theft, and evasion. Healthcare environments, with their high volume of unmanaged devices and time-pressured security teams, face outsized exposure to this acceleration in attacker speed.
On the defensive side, machine learning models analyze device behavior continuously, surface anomalies that signature-based tools miss, and help security teams prioritize the threats that require immediate action. Hospital systems that deploy AI-driven IoMT security platforms report measurable improvements in detection speed, with no disruption to the clinical workflows those devices support.
Collective threat intelligence
Federated learning adds another dimension: shared detection models train across distributed hospital systems without centralizing raw patient data, so each institution contributes to collective threat intelligence while patient records stay protected.
Conclusion
IoMT security is ultimately about protecting patients. The devices on hospital networks exist within the care delivery chain, and when attackers disrupt them, patients bear the consequences.
A strong IoMT security posture starts with complete device visibility, network segmentation, strong authentication, encrypted communications, and continuous behavioral monitoring. Compliance with FDA, HIPAA, and NIST frameworks establishes the regulatory foundation, while platform-based architectures and AI-native detection keep pace with the speed at which adversaries now operate.
Healthcare organizations that treat IoMT security as a proactive discipline that’s built into operations are the ones best positioned to protect both their patients and their institutions when the next threat arrives.
IoMT Security with CrowdStrike
CrowdStrike Falcon® for XIoT extends AI-native security to medical devices and connected healthcare environments. The platform delivers continuous visibility into every IoMT, IoT, and OT device on the network, from infusion pumps and patient monitors to imaging systems, all through a single unified console.
A lightweight Falcon sensor uses threat intelligence, exposure management, and AI-driven analytics to detect and stop ransomware, malware, and zero-day attacks in real time so clinical operations can continue uninterrupted. IoMT threat data feeds directly into CrowdStrike Falcon® Next-Gen SIEM and Falcon® Fusion to connect clinical device security to the same SOC workflows that already protect the rest of the organization.
