Industry Perspectives

How AI fuels both sophisticated cyberattacks and faster defenses in healthcare—covering attack methods, incidents, governance, and vendor risk.

Compare logistic regression, tree-based and deep learning models for clinical, population health, and cybersecurity risk scoring, with guidance on interpretability and deployment.

Best practices for vetting long-term care vendors to protect residents, meet HIPAA/CMS requirements, and reduce cybersecurity and continuity risks.

Manage AI risk in ICUs: address algorithmic bias, model drift, cybersecurity, human oversight, and compliance to protect patient safety.

Explore the critical aspects of laboratory vendor risk management to ensure patient safety, compliance, and operational efficiency amidst growing threats.

Eligibility and claim details for up to $3,000 from the 2024 Kitsap Mental Health Services data breach settlement.

Break down key ML metrics—accuracy, precision, recall, F1, specificity, AUROC, calibration, clinical utility and net benefit—to evaluate healthcare vendor risk models.

Key metrics to evaluate healthcare vendor security: detection quality, privacy controls, SLA and compliance benchmarks to protect PHI and prioritize high-risk vendors.

Guide for meeting FDA postmarket cybersecurity rules for IoT medical devices - SBOMs, vulnerability monitoring, CVD, patching, and audit readiness.

Centralized TPRM for IDNs reduces vendor-related breaches, improves HIPAA compliance, and protects patient safety across multiple healthcare facilities.

Checklist for healthcare incident response: build teams, detect threats, contain breaches, restore operations, and run post-incident reviews to protect PHI.

How ISO/IEC standards secure healthcare IoT devices—covering ISO 27001, 27701, ISO 13485, IEC 62304, certification steps, risks and HIPAA/FDA.

ISO 27001 helps medical device vendors protect PHI, reduce cyber incidents, meet HIPAA/FDA expectations, and secure supply chains for safer patient care.

Effective vendor risk management in ICUs is vital for ensuring patient safety and system reliability in life support operations.

Human-centered AI practices that prioritize patient safety, reduce bias, ensure explainability, and combine governance with cybersecurity in healthcare.

Explore how AI enhances healthcare cybersecurity while addressing risks, EU regulations, and human oversight for patient safety.

Role-based staff training reduces human error, aligns with FDA/HIPAA, and uses risk assessments and simulations to protect devices and patient safety.

Discover the importance of sharing cyber threat intelligence in healthcare to combat attacks and enhance security. Learn best practices and legal insights.

Learn essential strategies for securing vendor access to clinical applications, ensuring patient data protection and regulatory compliance.

Protect patients by securing medical device updates with risk assessments, SBOMs, encrypted OTA delivery, rigorous testing, and FDA-aligned processes.

Learn how to strengthen healthcare supply chains against cyber threats in 2025 with effective risk management strategies and advanced security tools.

Healthcare email systems face rising cyber threats. Learn essential security measures to protect patient data and ensure compliance.

Map and classify medical IoT devices, apply risk tiers, use passive network visibility and SIEM, and align security with clinical workflows.

Discover how AI enhances healthcare data security, tackling legacy systems, PHI visibility, and vendor risks for improved compliance and safety.