U.S. Hospital Leaders Face Critical Vendor and AI Cyber Readiness Gaps Entering 2026, New Black Book Report Now Available
By:
ACCESS Newswire
November 24, 2025 at 09:45 AM EST
Hospitals struggle to cut off compromised vendors and AI platforms, as the new 2026 US Hospital Cyber Readiness report from Black Book Research delivers actionable intelligence on kill-switch deficits, slow revocation timelines, and contract/insurance misalignment with third-party and AI risk. CHICAGO, IL / ACCESS Newswire / November 24, 2025 / A new US Hospital Cyber Readiness 2026 report from Black Book Market Research finds that most U.S. hospitals remain exposed to cyber incidents that originate at vendors, cloud partners, and AI platforms with a median 12-hour delay to fully cut off a compromised partner. The study concludes that the decisive capability for 2026 is time-to-revoke: how quickly a hospital can cut a compromised partner's access across identity, endpoints, networks, and APIs/data feeds, and that current sector performance is measured in hours, not minutes. "Hospitals increasingly depend on external platforms for core clinical and revenue services," said Doug Brown, Founder of Black Book. "This report demonstrates that cyber readiness now hinges on how quickly we can isolate those partners when something goes wrong, and on whether we can show boards and regulators objective evidence of that response." Key findings for boards and executive IT leadership The report highlights several systemic gaps: Limited kill-switch capability
Slow revocation timelines
Insufficient vendor due diligence and exercises
Contracts and cyber-insurance not aligned to upstream risk
Control-plane and segmentation gaps
Outlook for 2026
"Readiness equals upstream readiness. Internal defenses don't matter if you can't cut off a compromised vendor or AI platform in under 60-90 minutes and prove it," said Brown. AI vendors designated as Tier-1 risk: The report recommends that boards treat AI vendors and their underlying model/API hosts as Tier-1 risk by default, alongside EHR and core clinical systems. AI is now embedded in: Clinical documentation and GenAI copilots, Imaging and diagnostic AI, Clinical decision support and analytics, and AI-driven revenue cycle management (AI RCM). These services typically operate "inside the walls," with broad data access and powerful service accounts, sometimes dependent on separate external model/API platforms. A compromise at either layer can affect multiple hospitals simultaneously. "The data shows that AI is no longer peripheral innovation, it is upstream infrastructure," said Brown. "Governance and contracting need to reflect that reality, including explicit AI-specific kill-switch steps and coverage." Governance implications for trustees and senior management For hospital boards, the report frames cyber readiness in governance terms:
The report also recommends a short set of board-level KPIs, including time-to-revoke (median and 90th percentile), tested kill-switch coverage for Tier-1 vendors and AI, proportion of privileged vendor/AI accounts under PAM/JIT, percentage of vendor/AI traffic behind ZTNA and microsegmentation, and closure of key contract/insurance gaps. About US Hospital Cyber Readiness 2026 US Hospital Cyber Readiness 2026 is based on Black Book Market Research flash polls conducted in 2025 with 250 U.S. hospital and health-system leaders and 109 CISOs and senior cybersecurity leaders. The report focuses on upstream ransomware, vendor and AI risk, control-plane maturity, and board-level metrics and playbooks for 2026. Industry stakeholder can download gratis at https://blackbookmarketresearch.com/us-hospital-cyber-readiness-2026 For more information or to request the full report via email attachment visit www.blackbookmarketresearch.com or contact research@blackbookmarketresearch.com Contact Information Press Office SOURCE: Black Book Research View the original press release on ACCESS Newswire More NewsView More
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