Industry Perspectives

With 2025 compliance deadlines approaching, healthcare organizations must address the AI governance talent gap to ensure patient safety and data privacy.

Learn essential practices for safeguarding patient data, reducing breaches, and maintaining compliance in healthcare organizations.

Learn how to conduct effective supply chain security audits in healthcare to protect patient data and ensure compliance.

Assess 5G's impact on healthcare security, highlighting vendor risk, IoT vulnerabilities, zero-trust defenses, and the need for continuous monitoring to protect patients.

Five steps to manage third-party cloud audits in healthcare: set scope, choose auditors, align teams, assess risks, and maintain continuous monitoring.

Avoid five common vendor onboarding security errors in healthcare: poor risk classification, checkbox reviews, weak BAAs, uncontrolled integrations, and no ongoing monitoring.

Explore the top challenges in vendor risk scoring for healthcare and discover strategies to enhance data accuracy, compliance, and security.

Compare nine de-identification solutions for clinical text, structured data, and DICOM imaging, with strengths, use cases, and compliance notes.

Avoid common pitfalls in SOC 2 audits to ensure compliance and protect sensitive patient data in healthcare organizations.

Essential questions to vet healthcare AI vendors—covering performance guarantees, PHI protection, liability, governance, security, explainability, and audit readiness.

Practical steps to secure cloud-hosted PHI: MFA, least privilege, segmentation, audit logging, session controls, API security, and vendor oversight.

Guide to creating and managing FDA-compliant SBOMs for medical devices, covering NTIA elements, lifecycle and vulnerability requirements, formats, and submissions.

Apply the STRIDE threat-modeling framework to identify and mitigate Spoofing, Tampering, Disclosure, DoS, Repudiation, and Privilege risks in medical devices.

Ransomware can lock EHRs and medical systems, delaying care, increasing patient risk, and causing months-long recovery—key mitigation steps for healthcare.

Practical internal audit steps for healthcare contractors to meet CMMC: gap analysis, logging, access control testing, and remediation planning.

Monitor AI in healthcare: set interpretability goals, apply XAI (SHAP, LIME, Grad-CAM), stream EHR data to real-time dashboards, and audit for bias and compliance.

Explains GDPR requirements for healthcare IoT—data minimization, privacy-by-design, encryption, DPIAs, and cross-border obligations to avoid fines.

Explains how authentication, RBAC, FHIR APIs and risk management protect patient records while meeting HIPAA and GDPR requirements.

Embed security into CI/CD to protect PHI: use RBAC/MFA, IaC, SAST/SCA, centralized immutable logs, AES-256/TLS encryption, BAAs, and vendor risk controls.

Examines HIPAA/FDA vs GDPR/NIS2 challenges for healthcare supply chains and recommends continuous monitoring, automated TPRM, and unified risk frameworks.

Guide to tokenization vs. encryption for cloud data—use tokenization for structured PHI, encryption for unstructured data, plus combined best practices.

CMMC 2025 mandates healthcare compliance for DoD contracts—learn levels, assessment requirements, timelines, costs, and steps to maintain certification.

AI automates SOC 2 and HIPAA evidence collection, slashing audit prep time and costs while enabling continuous monitoring and real-time compliance for healthcare.

AI-powered SIEM reduces false positives, speeds threat detection, automates responses, and streamlines HIPAA compliance while addressing legacy device challenges.