Industry Perspectives

Effective vendor risk management is essential for ensuring surgical equipment reliability, compliance, and patient safety in healthcare settings.

U.S. Senate committee demands details from insurance giant Aflac regarding its recent cyberattack that compromised personal and health information.

How healthcare training differs from other industries: role-based modules, PHI and device risks, compliance, and measurable metrics.

Practical steps to secure email for HIPAA: TLS/S/MIME, AES-256 at rest, MFA, BAAs, DLP, audit logging, staff training, and incident response.

Aviation safety practices—redundancy, fail-safe design, real-time monitoring, and governance—can make healthcare AI more reliable and protect patients.

Explore the differences between SOC 2 and HIPAA compliance in healthcare, and how both frameworks work together to protect sensitive data.

How SOC 2 and HIPAA controls overlap and how mapping them cuts redundancy 30-40%, speeds audits, and strengthens healthcare data protection.

Learn best practices for SOC 2 risk monitoring in healthcare, focusing on compliance, documentation, team roles, and automation tools.

Explore essential SOC 2 reporting insights for healthcare vendors, focusing on compliance, audit processes, and data protection best practices.

Learn essential steps for SOC 2 PHI monitoring to protect patient data, ensure compliance, and strengthen security in healthcare organizations.

SOC 2 guidance for healthcare supply vendors on protecting PHI, ensuring uptime, managing subcontractors, and maintaining continuous compliance.

Learn how SOC 2 Availability criteria ensure reliable healthcare IT systems, addressing challenges like downtime and data protection.

How SBOMs speed vulnerability detection, improve supply-chain visibility, and help meet FDA cybersecurity rules for medical devices.

Rochester Regional Health received a $15M New York grant to boost cybersecurity and expand telehealth.

Prioritize audits on vendors handling PHI and critical systems to secure patient data and streamline compliance.

AI is reshaping healthcare risk management by predicting patient safety issues, detecting cyber threats, monitoring vendors in real time, and strengthening enterprise governance. This guide explains the opportunities, hidden risks, and practical frameworks—plus how tools like Censinet RiskOps™ modernize ERM with automation and continuous monitoring.

Optimize your risk register to enhance cybersecurity in healthcare by assessing risks based on cost, impact, and likelihood.

AI failures in healthcare create hidden financial, operational, and patient-safety costs—preventable with real-world testing, monitoring, and vendor accountability.

Practical RBAC guidance for healthcare: define clear roles, enforce least privilege and separation of duties, add context-aware policies, automate IAM provisioning, and audit regularly.

How healthcare organizations can secure medical AI with secure-by-design architectures, governance, vendor oversight, MLOps monitoring, and supply-chain risk management.

Healthcare must redesign workflows to harness AI—eliminate data silos, automate admin tasks, and secure systems to improve care and reduce clinician burden.

Practical overview of de-identification, differential privacy, federated learning, and governance for secure, multi-institutional healthcare research.

Discover strategies for prioritizing vulnerabilities in cloud-native environments, reducing noise, and preventing burnout through actionable solutions.

AI predictive models identify cyber, supply chain, vendor, and operational risks in healthcare to prevent breaches, ensure compliance, and protect patients.