Top 10 Tips for Healthcare Cybersecurity: A Guide for Hospitals and Health Systems

Last updated: May 2026

Healthcare organizations face more cyberattacks than any other industry, with thinner security budgets to defend against them. The 2025 Verizon DBIR recorded 1,710 security incidents in healthcare, with 1,542 confirmed data disclosures. The average healthcare breach now costs $9.8 million, and ScienceSoft projects that number will exceed $12 million by the end of 2026. Meanwhile, most healthcare organizations allocate just 6% of their IT budget to security. The gap between the threat and the resources available to address it means that healthcare cybersecurity best practices must be both effective and practical, designed for teams that are understaffed, overstretched, and managing environments where a wrong move can disrupt patient care. This guide covers the practices that actually reduce risk in healthcare environments, with specific attention to the connected medical devices that make hospital security distinct from every other industry.

On this page:

Why Healthcare Cybersecurity Requires a Distinct Approach
Healthcare Cybersecurity Best Practices
Connected Medical Device Security Practices
Building a Healthcare Cybersecurity Program
Frameworks and Regulatory Requirements
Measuring Your Healthcare Cybersecurity Posture

Why Healthcare Cybersecurity Requires a Distinct Approach

Healthcare cybersecurity best practices cannot be copied directly from other industries. Hospitals and health systems operate under constraints that financial services, technology, and government organizations do not share:

Patient safety depends on system availability. When systems go offline, clinicians lose access to electronic health records, imaging, pharmacy, and laboratory systems. Patient care degrades. Research shows that in-hospital mortality increases by 33% during ransomware incidents. Every security decision must weigh protection against the operational continuity that patients depend on.

Connected medical devices cannot be secured like IT endpoints. A mid-size hospital operates 10,000 to 50,000 connected devices. Most cannot run endpoint security agents, receive patches infrequently, and communicate over clinical protocols that standard IT tools do not parse. 60% of medical devices in active clinical use are end-of-life with no available security patches.

Regulatory requirements are layered and specific. HIPAA, the 2026 HIPAA Security Rule update, FDA Section 524B, state mandates like New York’s 10 NYCRR 405.46 and the Texas HHSC directive, and Joint Commission standards all impose cybersecurity obligations. Healthcare cybersecurity best practices must satisfy multiple regulatory frameworks simultaneously.

Operating margins leave no room for error. Hospital operating margins ranged from 1.4% to 5.2% in 2023-2024. Cash reserves have declined significantly. A single major breach can cost $9.8 million or more, enough to threaten the viability of smaller facilities. 646 rural hospitals are currently at risk of closure, and a cyberattack could push any of them over the edge.

These constraints mean that healthcare cybersecurity best practices must prioritize the actions that reduce the most risk with the resources actually available, rather than prescribing a theoretical ideal that no hospital can implement.

Healthcare Cybersecurity Best Practices

1. Build and Maintain a Complete Connected Device Inventory

You cannot secure what you do not know is on your network. Healthcare environments routinely discover 15-30% more connected devices than IT teams expected once proper discovery tools are deployed. Clinical engineering adds devices. Vendors install monitoring equipment during service visits. Facilities teams connect building automation systems. Each one expands the attack surface without appearing in a traditional IT asset inventory.

Effective healthcare device inventory requires continuous, passive discovery. Active scanning can crash medical devices and cause patient safety incidents. Passive deep packet inspection observes network traffic without sending any packets to devices, building an inventory from observed communications.

The inventory should capture manufacturer, model, firmware version, operating system, communication patterns, network neighbors, known vulnerabilities, clinical department assignment, and device utilization data. This last element helps biomedical engineering teams understand which devices are actually in use versus sitting idle, information that matters for both security prioritization and capital planning.

Asimily’s passive discovery covers IoMT, IoT, OT, and IT devices from a single platform. The protocol analyzer handles clinical protocols (HL7, DICOM) alongside standard IT traffic, and new device types can be classified through rapid protocol analysis without waiting for a product release cycle.

2. Segment Clinical Networks

Network segmentation is the single most impactful control for healthcare environments. Medical devices should not share network segments with administrative workstations, email servers, guest Wi-Fi, or domain controllers. Flat networks allow an attacker who compromises any device to move laterally with minimal resistance.

The Change Healthcare attack, the Ascension breach, and dozens of hospital ransomware incidents in 2024-2025 all followed a common pattern: gain initial access, move laterally through an insufficiently segmented network, and encrypt or exfiltrate data from systems that should have been isolated. Effective segmentation breaks this chain.

Healthcare segmentation should operate at multiple levels: macro-segmentation separating medical devices from general IT, zone-based segmentation grouping devices by clinical function, and targeted segmentation applying risk-based policies at the exploit-vector level. Asimily generates segmentation policies based on observed device behavior and integrates with existing NAC platforms (including Cisco ISE), firewalls, and switch infrastructure. The Policy Simulation feature allows teams to preview policy effects before enforcement, avoiding clinical disruptions.

Related: What is Microsegmentation?

3. Prioritize Vulnerabilities by Clinical Risk, Not Just CVSS

A large health system might have tens of thousands of connected devices carrying hundreds of thousands of CVEs. Treating every vulnerability equally buries security teams in work that does not meaningfully reduce risk to patient care.

CVSS scores alone are insufficient for healthcare. A critical CVSS score on a device sitting on an isolated clinical VLAN with no known public exploit carries far less actual risk than a medium-severity vulnerability on an internet-reachable imaging system with a published proof-of-concept. Effective healthcare vulnerability management requires contextual analysis: Is there a known exploit? Is the device reachable from the internet or from compromised zones? What is the clinical function? What compensating controls are in place?

Asimily’s vulnerability prioritization combines analysis from Asimily Labs, AI/ML techniques, and the MITRE ATT&CK framework for actual attack path analysis. This approach reduces the actionable vulnerability list by an order of magnitude, letting teams focus remediation where it reduces the most clinical risk.

4. Enforce Multi-Factor Authentication on Every External Access Point

The Change Healthcare breach, the largest healthcare cyberattack in history (192.7 million individuals affected), occurred because MFA was not enabled on a critical remote access service. This single control could have prevented it.

MFA should be mandatory on every system accessible from outside the hospital network: VPN connections, remote desktop services, cloud applications, vendor remote access portals, and administrative consoles. Internally, MFA should be required for privileged access to EHR systems, network management tools, and any system that can modify device configurations or security policies.

The SANS 2026 workforce analysis identified remote access as a primary attack vector in the majority of OT/IoT incidents assessed. Healthcare environments with extensive vendor remote access are particularly exposed. Replace always-on vendor connections with time-limited, logged, least-privilege access with MFA required for every session.

5. Apply Compensating Controls for Unpatchable Devices

60% of medical devices in active clinical use are end-of-life with no available security patches. Even for devices with available patches, deployment often requires vendor coordination, clinical validation, and maintenance windows that may be weeks or months away. Waiting for patches that may never come is not a security strategy.

Compensating controls bridge the gap: network segmentation restricts what a vulnerable device can communicate with, virtual patching blocks known exploitation techniques at the network layer, and configuration hardening removes unnecessary services and closes unused ports. Asimily prescribes the most efficient compensating control for each vulnerable device and provides specific implementation instructions ranked by effort and impact. The Risk Simulator models the impact of remediation actions before they are executed, so teams can verify a change will improve security without disrupting clinical workflows.

6. Monitor for Anomalous Device Behavior

Connected medical devices that behave normally follow predictable communication patterns: they talk to specific servers, at specific intervals, using specific protocols. A device that suddenly connects to an unfamiliar external IP address, transfers unusual data volumes, or communicates over a protocol it has never used is exhibiting behavior that warrants investigation.

Behavioral monitoring catches threats that signature-based tools miss, including compromised devices being used for lateral movement, data exfiltration, or command-and-control communication. In the Ascension Healthcare attack, anomalous behavior monitoring could have provided an early warning before ransomware spread across the network.

Asimily’s threat detection engine supports custom detection rules, integrates with SIEM and SOAR platforms, and provides packet capture on detection events for forensic analysis. When detection triggers, automated response options include alerting, quarantining the device at the network switch, and capturing network traffic for incident investigation.

7. Train Staff with Healthcare-Specific Scenarios

The 2025 Verizon DBIR found that 60% of breaches involve a human element. Healthcare’s high staff turnover, use of temporary clinicians, and demanding schedules make phishing particularly effective.

Training should go beyond generic awareness modules. Use healthcare-specific scenarios: phishing emails that mimic EHR notifications, vendor impersonation targeting clinical engineering, and social engineering attempts that exploit the urgency of patient care. Conduct simulated phishing campaigns and track improvement over time. Include training on how to report suspicious device behavior, not just suspicious emails.

Training alone does not prevent all human error. Pair it with technical controls: email filtering, web content filtering, endpoint detection on workstations, and network segmentation that limits the blast radius when a credential is compromised.

8. Evaluate Device Security During Procurement

The most cost-effective time to reduce medical device risk is before a device enters your environment. 84% of healthcare organizations now include cybersecurity requirements in vendor RFPs, and 56% have rejected a device due to cybersecurity concerns, according to the RunSafe 2026 Medical Device Cybersecurity Index. 81% rate Software Bills of Materials (SBOMs) as “important” or “essential,” and 35% will not consider a device without one.

Pre-purchase security assessment should evaluate manufacturer patching commitments, SBOM availability, authentication capabilities, encryption support, end-of-life projections, and alignment with FDA Section 524B requirements. Asimily’s ProSecure database provides pre-purchase security risk profiles for medical devices, allowing procurement and security teams to make informed decisions before a device enters the clinical environment.

9. Manage Third-Party and Vendor Risk Actively

Over 80% of stolen protected health information in 2024-2025 was not taken from hospitals directly. It was stolen from third-party vendors, business associates, and software services. The Change Healthcare attack disrupted roughly one-third of all U.S. health insurance transactions through a single vendor compromise. The MOVEit vulnerability affected healthcare organizations through their vendor relationships.

Vendor risk management should include cybersecurity requirements in all contracts, regular security assessments of critical vendors, monitoring of vendor network connections for anomalous activity, and incident notification requirements. Classify vendors by the criticality of their access: a vendor with direct network connectivity or access to PHI requires more scrutiny than one providing office supplies.

10. Build an Incident Response Plan That Includes IoMT

A generic IT incident response plan does not cover the scenarios hospitals face. Healthcare IR plans should address how to quarantine a compromised infusion pump without disrupting patient care, how to maintain clinical operations when EHR access is lost, who has authority to disconnect a medical device from the network, how to communicate across IT, clinical engineering, and clinical leadership during an active incident, and how to meet regulatory notification timelines (HIPAA, state mandates, FDA safety communications).

Test the plan through tabletop exercises that include both IT security and clinical operations leadership. Run scenarios based on real healthcare cyberattacks: a ransomware attack that encrypts imaging systems, a compromised vendor connection that provides access to the clinical network, a botnet-enrolled IoMT device discovered during routine monitoring.

Asimily provides packet capture on detection events, device-level context for incident responders (manufacturer, firmware, communication history, clinical department), and automated quarantine capabilities that help responders make safe containment decisions.

Building a Healthcare Cybersecurity Program

These ten practices are not independent items to be checked off a list. They work together as layers of a program:

Visibility (Practice 1) enables everything else. You cannot segment, prioritize, or monitor devices you do not know exist.

Prevention (Practices 2, 4, 5, 8) reduces the attack surface before an incident occurs. Segmentation, MFA, compensating controls, and procurement standards all limit the paths available to an attacker.

Detection (Practice 6) identifies threats that prevention does not stop. Behavioral monitoring catches compromised devices, lateral movement, and data exfiltration.

Response (Practice 10) limits the damage when an incident occurs. Healthcare-specific IR planning ensures containment decisions account for patient safety.

People (Practices 3, 7, 9) address the human factors: vulnerability prioritization gives teams focus, training reduces human error, and vendor management extends security beyond the hospital walls.

The most effective healthcare cybersecurity programs start with the practices that deliver the largest risk reduction for the resources available. For most hospitals, that means connected device inventory, network segmentation, and vulnerability prioritization, the three areas where the gap between current state and achievable improvement is widest.

Frameworks and Regulatory Requirements

HIPAA Security Rule (2026 Update). The updated rule tightens requirements for access controls, audit logging, encryption, and connected device security. Compliance is expected to require demonstrable medical device security programs, not just written policies.

NIST Cybersecurity Framework (CSF 2.0). Provides the risk management structure for healthcare cybersecurity programs, organized around six functions: Govern, Identify, Protect, Detect, Respond, and Recover. Mapping practices to CSF gives security teams a common language for communicating with leadership and auditors.

FDA Section 524B. Requires manufacturers to build cybersecurity into the device lifecycle, including SBOMs and vulnerability management plans. Affects procurement decisions for all new medical devices.

HHS Cybersecurity Performance Goals (CPGs). Establish voluntary but increasingly referenced performance benchmarks for hospital cybersecurity. Organizations that meet CPGs may receive favorable treatment in HIPAA enforcement and Medicare incentive programs.

State Mandates. New York’s 10 NYCRR 405.46 (first state-level hospital cybersecurity regulation) and the Texas HHSC directive (March 2026) signal expanding state-level expectations. Additional states are expected to follow.

Joint Commission. Accreditation standards increasingly reference cybersecurity as a component of patient safety and environment of care requirements.

Measuring Your Healthcare Cybersecurity Posture

Healthcare cybersecurity best practices should be measurable. Track progress against concrete metrics rather than relying on subjective assessments:

Device inventory coverage: What percentage of connected devices on your network are discovered, classified, and tracked? Target: 95%+.

Segmentation coverage: What percentage of connected medical devices are on segmented networks with enforced policies? Track by department and device criticality.

Vulnerability remediation rate: Of the vulnerabilities identified as high-priority (exploitable, on reachable devices, with clinical impact), what percentage have been remediated or have compensating controls in place?

Mean time to detect (MTTD) and respond (MTTR): How quickly does your team identify anomalous device behavior, and how quickly can you contain a compromised device?

Vendor compliance rate: What percentage of your critical vendors meet your cybersecurity requirements and have current security assessments on file?

Staff training completion: What percentage of staff completed healthcare-specific cybersecurity training in the current cycle, and what is the simulated phishing click rate trend?

These metrics give leadership a concrete picture of cybersecurity posture and progress, and they align with the documentation expectations of HIPAA, NIST CSF, and HHS CPGs.

Strengthen Your Healthcare Cybersecurity Program

Healthcare cybersecurity best practices start with visibility into every connected device, contextual understanding of which vulnerabilities carry real clinical risk, and segmentation that limits what an attacker can reach. Compliance, training, vendor management, and incident response all build on that foundation.

Asimily provides the connected device visibility, risk prioritization, and segmentation orchestration that healthcare organizations need to implement these practices. From pre-purchase risk assessment through operational monitoring and incident response, the platform supports the full lifecycle of connected medical devices.

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