Industry Perspectives

Compare HIPAA, NIST, HITRUST and ISO 27001 encryption guidance for clinical apps, and learn when AES-256, TLS 1.3, or certification are required.

Explains why MFA is now mandatory for cloud ePHI, which access types must use it, vendor obligations, audit evidence, and practical implementation steps.

Practical guide to HIPAA in cloud environments: BAAs, shared-responsibility, encryption, access controls, logging, and automation to protect ePHI.

Practical steps to secure IoT medical devices under HIPAA: automated inventories, compensating controls, vendor risk management, and alignment with FDA rules.

Application vulnerabilities put ePHI at risk - healthcare organizations need continuous risk analysis, prioritized fixes, and strict remediation timelines.

Balance rapid AI innovation with Zero Trust, strong governance, and human oversight to secure patient data and reduce risk.

Build HIPAA- and NIST-aligned controls into AI from planning to deployment—protect PHI, meet state laws, and avoid costly compliance fines.

Compare GDPR and HIPAA incident response: 72‑hour vs 60‑day breach notifications, DPIAs vs security risk analyses, and governance for unified healthcare compliance.

Practical guidance for aligning people, processes, and AI in healthcare—governance, workflow automation, training, and risk management to improve care.

Governance—not technology—determines whether healthcare AI pilots become safe, scalable production tools.

Healthcare food service vendors pose clinical, supply-chain, and cyber risks; strict oversight, FSMA/HIPAA compliance, and vendor monitoring prevent harm.

Framework to manage FDA medical device vendor risk: use SBOMs, enforce secure development, monitor vulnerabilities, and document CAPA for compliance.

Manufacturers must embed incident response and SBOM-driven vulnerability management into device design to meet FDA cybersecurity rules and protect patients.

FDA's post-market cybersecurity rules for connected medical devices: monitoring, coordinated disclosure, SBOMs, QMSR integration, and rapid patching.

Summary of the FDA's 2026 cybersecurity requirements for medical devices, including SBOMs, SPDF, QMS integration, testing, and postmarket patching.

Steps healthcare organizations must take to vet AI/ML vendors for FDA clearance, HIPAA security, PCCPs, and ongoing performance monitoring.

Explores how AI improves diagnostics and treatment planning while exposing bias, transparency, and cybersecurity risks—and why strong governance matters.

AI is reshaping cyber warfare in healthcare, accelerating phishing, ransomware, and supply‑chain attacks while targeting AI‑powered clinical tools. This article breaks down why attackers focus on healthcare, how AI enhances cyberattacks, and the essential defenses—Zero Trust, MFA, immutable backups, real‑time monitoring, and AI governance—that organizations must implement.

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

Align IT, legal, and clinical teams to strengthen TPRM, protect patient safety, secure PHI, and accelerate vendor assessments with shared workflows and continuous monitoring.

Compare cloud, on‑premises, and hybrid encryption key storage for PHI—tradeoffs in control, cost, compliance, scalability, and disaster recovery.

Practical steps to assess cloud vendor security, enforce HIPAA/HITRUST, and ensure business continuity to protect patient data and care delivery.

Checklist to detect and prevent cloud PHI breaches with logging, IAM, encryption, immutable backups, and incident response to meet HIPAA security requirements.

HIPAA cloud retention explained: six-year minimum, state/federal extensions, 2026 encryption/MFA mandates, secure disposal, BAAs, and 72-hour backup recovery.