Industry Perspectives

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.

Explore critical vulnerabilities in the pharmaceutical supply chain and learn how lessons from this sector can enhance risk management across industries.

Compare penetration testing and vulnerability scanning for healthcare: when to use each, their frequency, operational impact, and how they protect PHI.

Third-party vendors pose hidden risks to patient safety in healthcare. Learn how to manage these challenges effectively.

Practical guidance on building AI governance, reducing bias, ensuring transparency, privacy, and continuous monitoring to keep clinical AI safe and equitable.

Cloud outages threaten patient care in healthcare systems, revealing the urgent need for effective continuity planning and risk assessment.

Practical guide to build and enforce PHI retention policies for HIPAA and state compliance, secure storage, automated retention, and secure destruction.

Assess your PHI safeguards with our free calculator. Get a risk score and tailored tips to protect patient data today!

Learn how to implement Privileged Access Management in healthcare to secure patient data, prevent breaches, and ensure compliance with regulations.

Hospitals are facing cybersecurity risks due to slow incident response times, exceeding 72 hours, threatening patient safety and data security.

Explore the critical differences between onboarding and offboarding vendor training in healthcare to enhance data security and compliance.

New York awards $309M+ to 22 hospitals for IT, EHR, cybersecurity, telehealth and digital upgrades.

Healthcare organizations need a scalable TPRM program—central vendor inventory, risk tiering, continuous monitoring and AI to protect PHI and meet HIPAA requirements.

Explore how the NIST Cybersecurity Framework can be adapted to address the unique IoT device risks in healthcare settings.

Compare multi-region and multi-cloud architectures for healthcare: trade-offs in resilience, HIPAA compliance, cost, and operational complexity to guide your choice.

Examines security, privacy, bias, and autonomous-failure risks of multi-modal AI in healthcare and outlines governance, monitoring, and vendor controls.

Healthcare organizations must choose between multi-domain and point solutions for effective Governance, Risk, and Compliance management.