Industry Perspectives

How healthcare organizations should handle breach notification, downtime reporting, and regulatory investigations after cloud outages to limit risk and penalties.

Learn how CFOs can transform healthcare governance, risk, and compliance from a cost center into a strategic asset for growth and efficiency.

Automated TPRM reduces vendor risk and costs in healthcare — up to $380K saved, faster breach response, and 90–95% vendor coverage.

Explore how effective Third-Party Risk Management (TPRM) in healthcare can lead to cost savings, improved compliance, and reduced security risks.

AI-first risk management automates cybersecurity, vendor oversight, and compliance in healthcare, delivering continuous monitoring, faster assessments, and human oversight.

Secure AI in healthcare by aligning people, processes, and technology—governance, risk workflows, and tools for compliance and oversight.

Practical guidance for healthcare organizations to prioritize AI safety with transparency, human oversight, risk-based governance, cybersecurity, audits, and training.

AI boosts efficiency and improves diagnostics in healthcare, but it also expands the attack surface, increases the risk of PHI exposure, and introduces bias and device vulnerabilities. This guide explains the “AI risk paradox,” the top threats affecting healthcare AI, and the governance strategies and monitoring tools needed to keep AI safe.

A practical framework to assess and improve healthcare AI governance, data privacy, ethics, security, and monitoring across five maturity levels.

How AI and human expertise combine to detect threats, manage third-party risks, and ensure ethical, compliant cybersecurity for healthcare.

Move healthcare AI past checkbox compliance to proactive governance with cross-functional oversight, continuous monitoring, and patient-safety focused risk control.

Practical roadmap for healthcare AI governance—committees, inventories, vendor controls, continuous monitoring, and KPIs to protect patients and ensure compliance.

AI is transforming healthcare operations, but it’s also fueling a wave of advanced cyber threats that traditional security teams aren’t equipped to handle. This guide breaks down AI‑specific vulnerabilities, why healthcare organizations are especially at risk, and the governance, frameworks, and continuous monitoring needed to prepare for AI‑driven attacks.

AI speeds healthcare risk management with real-time threat detection, automated vendor and supply-chain assessments, and human-guided compliance.

Learn essential strategies to mitigate costly third-party data breaches in healthcare and strengthen your organization's cybersecurity posture.

Explore the critical risks in telehealth vendor management, focusing on security, privacy, and clinical safety to protect patient care.

Swift Institute data breach exposed patient PII and PHI, including Social Security numbers; affected individuals offered credit monitoring.

Healthcare organizations excel in compliance but lag in cyber resilience, risking patient safety and operational stability amidst evolving threats.

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.