Censinet opens enrollment for 2027 healthcare cybersecurity and AI benchmark study
Censinet has opened enrollment for its 2027 Healthcare Cybersecurity & AI Benchmarking Study, a free program for hospitals, health systems and integrated delivery networks. The sixth-wave study aims to help healthcare leaders compare cybersecurity maturity and AI governance readiness against peers, with results due later in 2027.
Why it matters: - Hospitals and health systems are trying to keep up with cybersecurity threats while AI adoption outpaces governance programs. - The study gives healthcare leaders peer benchmarks they can use to spot gaps, support budget requests and strengthen board reporting. - Prior study results helped shape national cybersecurity guidance, raising the stakes for broad participation.
What happened: - Censinet opened enrollment for the 2027 Healthcare Cybersecurity & AI Benchmarking Study on Oct. 19, 2026. - The annual study is open to hospitals, health systems and integrated delivery networks at no cost. - The program is co-sponsored by the American Hospital Association, Health-ISAC and the Healthcare and Health Sector Coordinating Council Cybersecurity Working Group. - Censinet said the study is now in its sixth wave.
The details: - Participants complete two enterprise assessments and one organizational questionnaire in Censinet RiskOps. - The assessments cover NIST Cybersecurity Framework 2.0 maturity, NIST AI Risk Management Framework governance, and organizational metrics tied to cyber structure, staffing, investment, ownership and performance. - The 2027 version removes the optional HICP and HPH CPG modules. - The 2027 version makes selected organizational metrics fields optional. - Eligible responses from prior-year assessments can carry forward for review. - Participants receive complimentary benchmarking access in Censinet RiskOps, peer comparisons, board-ready dashboards, summary reporting, a participant-only Deep Dive Report and an executive summary of industry findings. - Participants also get a webinar with expert perspectives on the results. - Individual responses are never shared. - Findings are reported only in anonymized, aggregated form. - Peer comparisons appear only when enough data exists for the selected comparison group. - Questions can be sent to benchmarks@censinet.com.
Between the lines: - The study is tracking cybersecurity and AI governance together because healthcare organizations are deploying AI faster than governance teams can document and manage it. - Findings from the 2026 study showed 70% of participating healthcare organizations had an AI governance committee, but only 30% maintained an enterprise-wide AI inventory. - One-third of participants had no way to detect when vendors embedded AI into products already approved. - Censinet said the benchmark data helps turn uncertainty into evidence that leaders can present to boards. - The study’s earlier anonymized data fed into the HHS Hospital Cyber Resiliency Initiative Landscape Analysis, published in May 2023. - That HHS report helped inform the Healthcare and Public Health Cybersecurity Performance Goals issued in January 2024.
What's next: - Qualified healthcare organizations must request participation and complete the questionnaire and both assessments by Dec. 7, 2026 to be included in the 2027 analysis. - Censinet will use the collected data to produce anonymized industry findings, participant reports and board-facing benchmarking materials. - The company is positioning the study as a recurring reference point for healthcare leaders measuring both cyber maturity and AI governance readiness.
The bottom line: - Censinet is using its latest benchmark study to give healthcare organizations a free, structured way to compare cyber and AI governance performance against peers at a time when both risks are rising quickly.
Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.
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