Industry Perspectives

Healthcare organizations can save millions by transitioning from fragmented GRC systems to a unified platform that enhances efficiency and compliance.

Compare FDA and EU MDR patching approaches—lifecycle controls, risk-based change gates, documentation, and post-market reporting for safer medical device updates.

Explore how explainable AI enhances risk prediction in healthcare, improving patient safety and trust while meeting regulatory standards.

Evolving federal and state privacy rules expand HIPAA audits, complicate vendor management, and raise penalties—practical steps to improve audit readiness.

Practical guidance on managing vendor risks in healthcare edge computing — contracts, monitoring, AI and Zero Trust to protect patient data.

Assess EHR vendors: map data flows, establish governance, evaluate security, privacy, uptime and compliance, and monitor continuously to protect ePHI.

Explore the critical steps for assessing EHR vendor risks to protect patient data and ensure the reliability of healthcare systems.

AI-powered models enable real-time monitoring, risk scoring, and automated responses across healthcare systems while prioritizing patient safety and human oversight.

Boards must treat region-wide cloud outages as inevitable—adopt multi-region DR, set RTO/RPO, test failovers, and map vendor dependencies to protect patients.

HIPAA disaster recovery for patient data: encrypted immutable backups (3-2-1), RTO/RPO priorities, tested downtime plans, and vendor oversight.

Assess FDA pathways, clinical evidence quality, and cybersecurity when evaluating digital therapeutics vendors to protect patient safety and compliance.

Explore the transformation of healthcare credentialing with modern platforms that enhance security, efficiency, and compliance.

Practical five-step playbook to identify, prioritize, and remediate AI vulnerabilities in healthcare to protect patient safety and PHI.

Compare de-identification and anonymization for HIPAA vs GDPR compliance, data utility, re-identification risk, and cross-border research controls.

Roles and responsibilities of data owners, stewards, and custodians in healthcare data governance—policy, quality, and technical security.

How AI shifts healthcare cybersecurity from reactive detection to proactive prevention with real-time monitoring, predictive analytics, automated response, and vendor oversight.

How healthcare orgs can protect patient data from third-party breaches through pre-contract checks, BAAs, continuous monitoring, risk scoring, and automation.

Healthcare cybersecurity faces unique challenges, leading to higher breach costs and a need for tailored solutions compared to other industries.

Assess your business's cybersecurity risks with our free tool. Get a risk score and actionable tips to protect your data today!

Cyber attacks in healthcare are threatening patient safety by disrupting care and delaying treatments, emphasizing the urgent need for stronger cybersecurity measures.

Create a tailored cybersecurity plan for your healthcare entity with our free tool. Identify risks and get actionable steps to protect patient data now!

Practical guidance for healthcare leaders to defend against AI-driven cyber risks using governance, zero-trust, vendor controls, and workforce training.

Custom vendor risk scoring enhances compliance, speeds up evaluations, and empowers healthcare organizations to make informed vendor decisions.

Explore the complexities of AI governance in healthcare across regions and the need for unified standards to protect patient data.