Censinet

While technology gets the headlines and people drive the culture, it's the workflows, frameworks, and systematic approaches that transform good intentions into repeatable processes that deliver measurable outcomes. Check out Part II of The Risk Never Sleeps Podcast Chronicles.

Enrollment is now open for the 2026 Healthcare Cybersecurity Benchmarking Study, the industry’s landmark annual initiative delivering robust, objective, and actionable benchmarks to strengthen cybersecurity across the health sector. Participating organizations in the 2026 Benchmarking Study get no-cost access to: ✅Enterprise assessments and peer benchmarks for: NIST Cybersecurity Framework 2.0 (CSF 2.0) NIST AI Risk Management Framework (AI RMF) Organizational Metrics on cyber program ownership, cost, and productivity HHS Healthcare & Public Health Cybersecurity Performance Goals (HPH CPGs) 405(d) Health Industry Cybersecurity Practices (HICP 2023) ✅Executive Summary and Deep Dive Reports, to be published in early 2026 ✅Board-ready dashboards and reporting to support cybersecurity investment planning ✅Peer group comparisons across operational metrics such as ‘cybersecurity expense as a percentage of IT budget’ ✅Benchmarking results and peer comparisons are available immediately upon completion of the assessments. To participate in the Benchmarking Study, email [email protected]

Enrollment is now open for the 2027 Censinet Healthcare Cybersecurity and AI Benchmarking Study. Qualified healthcare organizations can participate at no cost and complete two structured enterprise assessments aligned to NIST CSF 2.0 and NIST AI RMF. The goal is not just to measure maturity. Participants can see how their cybersecurity and AI risk programs compare with peers, identify priority gaps, and bring clearer data into executive and board-level conversations. Request participation: https://lnkd.in/e_XfkBqe/?utm_campaign=Boost_Post_Engagement_Sep25,2026&utm_source=linkedin&utm_medium=paid&utm_id=1214662604&hsa_acc=538780133&hsa_cam=1214662604&hsa_grp=900540834&hsa_ad=1574081944&hsa_net=linkedin&hsa_ver=3

AI introduces clinical, operational, ethical, privacy, and security considerations in healthcare. Effective governance must account for them all.

AI governance in healthcare requires cross-functional collaboration. Streamline your efforts and gain the context needed for informed risk evaluation.

AI governance must account for internal policies, regulatory frameworks, acceptable use, operational context and more. Connect it all in one platform.