Strengthening Healthcare Cybersecurity in an Era of Disruption

Strengthening healthcare cybersecurity in an era of disruption

Understanding the healthcare threat landscape 

Cybersecurity in healthcare is no longer a traditional IT function but a mission-critical enterprise capability that impacts patient safety, clinical continuity and organizational resilience. Today, healthcare leaders face a risk environment defined less by isolated threats and more by systemic operational exposure. The value of sensitive health data remains high, while expanding supply chain dependencies and IoT-dense clinical environments continue to widen the attack surface. Persistent cybersecurity talent shortages and uneven AI adoption further expand exposure and operational complexity.

Adversaries are capitalizing on these conditions, favoring high-impact disruption through ransomware, credential-based compromises and exploitation of third-party weaknesses. 

The path forward is not simply acquiring the latest technology or tool, but rather rigorously integrating security into core clinical and business operations. Healthcare leaders must establish foundational security priorities that reduce risk, strengthen resilience and align with evolving regulatory expectations.

In Security Priorities for 2026, we identified six strategic focus areas shaping the cybersecurity agenda across industries — spanning resilience, identity, AI governance and operational transformation. The priorities outlined below reflect how these broader security imperatives manifest within healthcare delivery systems, translating enterprise strategy into the realities of clinical operations, regulatory scrutiny and interconnected care ecosystems.

Priority 1: Build downtime survivability as a first-class enterprise capability 

Across industries, cyber resilience and rapid recovery have become board-level expectations rather than technical afterthoughts. In healthcare, resilience extends beyond financial continuity to clinical survivability, where downtime directly affects care delivery and patient outcomes.

Ransomware has hit the healthcare industry particularly hard. Outages and third-party disruptions not only interrupt operations but can also cost human lives. Prevention alone is no longer sufficient. Operational resilience and downtime survivability must now function as a core enterprise competency that impacts quality, safety and financial metrics.

Key actions to build resilience and recovery 

• Invest in immutable, isolated backups capable of rapid recovery: Deploy immutable, off-site or air-gapped backup architectures that prevent modification, encryption or tampering. Pair them with validated, automated restore processes to ensure clean, trustworthy data and systems are available for rapid recovery.
• Define recovery expectations based on patient safety impact and care-delivery dependencies, so technology decisions reflect the true urgency of clinical operations.
• Mature clinical downtime playbooks through realistic, cross-department simulations: Move beyond theoretical plans to hands-on exercises that validate role clarity, communication paths, manual workarounds and clinical continuity under stress.

Priority 2. Establish identity as the perimeter      

Enterprise security strategy in 2026 increasingly centers on identity as the new control plane, with continuous verification replacing assumed trust. In healthcare environments characterized by shared workstations, third-party access and urgent clinical workflows, identity discipline becomes foundational to both security and safety.

Credential‑based attacks remain a top driver of healthcare breaches, fueled by advanced phishing techniques and inconsistent access controls across clinical, operational and third‑party environments. As remote work, vendor connectivity and AI adoption expand, disciplined access provisioning and revocation become among the most effective security controls available. When attackers compromise identity, lateral movement can accelerate quickly, and healthcare organizations need the ability to respond to keep patients safe and clinical operations running. 

Key actions to strengthen identity controls

• Implement phishing‑resistant multi-factor authentication (MFA) throughout the organization. It's among the most effective investments for any organization. It should be supported by conditional access policies that balance security enforcement with clinical usability and user experience.
• Strengthen access management by enforcing least-privilege access across clinical and business systems, ensuring users and service accounts receive only the access required and only for the time it is needed.
• Establish continuous access reviews and accountability by regularly validating access against current roles, clinical responsibilities and risk context, and invoking policies that grant temporary access or just-in-time access.

Priority 3. Rethink vulnerability management 

Vulnerabilities are inevitable. Security leaders are shifting from reactive patching models to risk-informed exposure reduction. For healthcare systems operating complex clinical, legacy and vendor-managed environments, this shift demands continuous visibility across distributed assets and supply chain dependencies.

Healthcare organizations must focus their resources on the highest‑risk exposures, especially those introduced across their supply chain. Distributed clinical environments — legacy electronic health record (EHR) components, medical IoT and OT, third‑party systems and vendor‑maintained assets — create blind spots traditional programs miss. As exploit cycles accelerate, leaders must prioritize rapid reduction of real‑world, exploitable risk, focusing on the most urgent operational and clinical safety needs.

Key actions to reduce exposure

• Prioritize reduction of internet-facing exposure and unmanaged assets: Immediately shrink the external attack surface by eliminating shadow systems, decommissioning stale endpoints, and enforcing governance over devices and workloads that fall outside traditional IT ownership.
• Implement continuous discovery across clinical, operational and vendor ecosystems: Deploy automated discovery tools that map every connected asset — including medical IoT/OT, cloud workloads, remote sites and third‑party systems — to surface unmanaged, unknown or misconfigured endpoints. Continuous visibility allows teams to identify drift, new exposures and orphaned systems that traditional inventory or vulnerability scans routinely miss.

Priority 4. Establish guardrails for third-party risk 

Governance priorities across sectors are expanding to address supply chain exposure and vendor accountability as systemic risk drivers. In healthcare, where interconnected technology partners underpin clinical and administrative functions, third-party resilience must be treated as an extension of internal security architecture.

Third‑party incidents — from software supply chain attacks to outages among clinical and operational technology providers — remain a leading cause of disruption across healthcare. Large health systems often rely on hundreds to thousands of interconnected vendors, meaning a single compromise can cascade rapidly across clinical, financial and administrative functions. Healthcare organizations need to set clear security criteria for vendor onboarding, including audits, penetration tests and liability agreements. Healthcare leaders should assume that vendor compromise is possible and architect environments so that external failure will not automatically become their own.

Key actions to reduce third-party risk

• Establish clear boundaries and perimeters: Apply zero trust segmentation to isolate high-risk or externally managed systems and treat vendor-provided or cloud-hosted solutions as untrusted by default, enforcing least privilege access paths, network isolation and strict boundary controls to prevent lateral movement.
• Shift to continuous monitoring and integrated risk signals: Replace slow, point-in-time vendor reviews with continuous visibility into external risk posture, attack surface changes, dark web exposure, credential leaks and software integrity signals.
• Formalize incident response and collaboration channels with critical vendors before an incident occurs: Establish clear escalation pathways, shared playbooks, coordinated downtime procedures and expectations for evidence sharing, forensic support and communication timelines.

Priority 5: Establish data security foundations to enable AI adoption

As organizations accelerate AI adoption, enterprise security programs increasingly emphasize lifecycle governance, data integrity and model oversight from development through deployment. In healthcare, where AI intersects with regulated data and clinical decision-making, these guardrails must be embedded early to preserve safety and trust.

Unfortunately, adoption often outpaces security and governance maturity. For successful AI initiatives, data must be accessible, so organizations cannot simply lock it down. Without the right data security foundations and visibility, organizations are left vulnerable to AI-specific risks, including model manipulation, data leakage and hallucination. Leaders must advance AI responsibly, ensuring data environments are prepared without compromising safety or trust.

Key actions to secure AI 

• Identify and classify sensitive data so you can establish visibility and governance into how AI is ingesting, manipulating and sharing your data.
• Stand up an integrated AI governance structure: Bring clinical, operational, legal, cybersecurity and compliance leaders into a single governance framework that defines how AI is evaluated, approved, deployed and monitored across the enterprise.
• Embed security and assurance controls directly into the AI lifecycle: Treat AI models like any other high‑risk digital asset. Enforce access controls, auditability, change‑management discipline and safeguards against data leakage or model manipulation from development through deployment.
• Raise enterprise literacy around AI risk: Equip clinical, operational and administrative staff with pragmatic guidance on AI limitations, responsible use and data protection expectations to reduce accidental misuse and shadow AI adoption.

Priority 6: Make compliance a driver for innovation     

Across industries, regulatory pressure is reshaping cybersecurity from a compliance exercise into a demonstration of risk management maturity. In healthcare, where cyber incidents increasingly trigger formal scrutiny and public accountability, strong governance serves as both a defensive safeguard and a strategic advantage.

Healthcare cybersecurity regulation is entering an era of heightened oversight at both federal and state levels. Aligning to established frameworks is now essential — not just for compliance, but for demonstrating competence, reducing liability, protecting reimbursement and accelerating recovery funding. In a sector where cyber risk directly affects patient safety, regulatory readiness reinforces operational credibility and resilience.

Key actions to improve governance, risk and compliance 

• Build a unified, forward-looking control framework: Consolidate federal, state and sector-specific requirements into a single enterprise control baseline that can evolve with regulatory shifts and emerging AI governance standards.
• Demonstrate measurable governance maturity across critical domains: Show defensible improvement in identity, resilience, third-party and AI governance — the areas most scrutinized during regulatory reviews and post-incident evaluations.
• Operationalize continuous compliance and audit readiness: Embed automated evidence collection, standardized reporting and built-in control execution into daily operations so the organization remains perpetually audit ready.

Final thoughts: Securing healthcare's next phase of digital transformation

2026 will accelerate a generational shift in healthcare cybersecurity from fragmented controls to integrated, enterprise-wide risk management. Organizations must rethink their processes for business continuity, compliance and third-party risk, and evolve foundational security competencies such as data security, identity security and vulnerability management. Finally, they must prepare for AI implementation by establishing the right data foundations and cross-functional AI governance.

Healthcare's mission is too critical, and the threat landscape too aggressive, for incremental approaches. Leaders who act decisively now will create safer, more resilient and more digitally empowered health systems for the years to come.