Industry Perspectives

Analysis of 10 failure points in medical device supply chains and immediate actions to reduce shortages, cyber and quality risks.

South Korea’s Financial Security Institute unveils an AI reliability and safety evaluation framework for finance.

Law firm investigates Baylor Genetics data breach exposing patient and employee personal information.

Law firm investigates Lone Star Community Health Center breach exposing 250,130 patients' personal and medical data.

How DLP supports HIPAA: monitor, log, and control ePHI (email, endpoints, cloud) while pairing tools with risk analysis and governance.

Five IoT incident-response metrics—MTTD, MTTA/MTTR-start, containment, recovery, improvement—mapped to NIST CSF for safer device operations.

AI should triage and continuously update healthcare vendor risk, but final high‑impact decisions must remain human‑controlled.

EDR stops attacks fast in healthcare by isolating devices, blocking harmful behavior, and matching automation to patient-safety needs.

Prioritize testing and controls for functions that can harm patients, expose ePHI, or disrupt care; validate and maintain risk evidence.

How to make HIPAA audit logs forensic-ready: standard fields, centralized immutable storage, six-year retention, and documented review.

Five compliance gaps: incomplete inventory, weak patching/SBOMs, poor access, unclear ownership, and thin logging raise medical device risk.

Six practical rules to vet, contract, validate, monitor, and suspend healthcare AI vendors to protect patients and PHI.

Map where ePHI flows, then threat-model those paths to rank risks, protect patient safety, and meet HIPAA requirements.

Compare five compliance tools and learn where shared controls cut redundant work across SOC 2, HIPAA, and PCI DSS.

Most healthcare breaches start with staff-targeted attacks and persist due to legacy systems, weak identity controls, and vendor risk.

Explains HITECH's breach-notice rules, security safeguards, vendor liability, risk analysis, and enforcement evidence.

Wireless vs wired medical device risks: RF interception/jamming vs LAN, USB and port threats; mitigate with encryption and segmentation.

Practical checklist to encrypt PHI at rest: AES-256, key management, algorithm choices, testing, and risk controls.

FDA-aligned approach: central device inventory, SBOM mapping, unified alert intake, risk-based triage, and tested response playbooks.

Medical device security must extend into the cloud — monitor device, network, API, cloud, and PHI flows with centralized logs and patient-risk-based response.

AI speeds cyber threat detection across ED, EMS, EHR and medical devices while keeping human review for high-impact actions.

A five-step workflow for handling medical device cybersecurity: intake, validation, remediation, disclosure, and documented closure.

Compare four playbooks—hospital, manufacturer, coordination, and FDA guidance—to prepare for and respond to medical device cyberattacks.

Actionable incident response guidance for ED and EMS: patient-safety focused downtime plans, roles, containment, recovery, and HIPAA documentation.