Industry Perspectives

Explains how compliance reporting differs from gap analysis in healthcare, their outputs, timing, and how automation streamlines evidence collection and remediation.

HIPAA compliance in the cloud demands rigorous ePHI mapping, signed BAAs, strict access controls, and continuous monitoring — not a checkbox exercise.

Compare CMMC and HIPAA controls, identify gaps in integrity and availability, and see which NIST SP 800-53 controls close them.

Practical framework to extend AI governance across boards, clinicians, and frontline staff to manage risks and protect patients.

Risk-based patching for medical devices: prioritize critical updates, test in simulated environments, use compensating controls, and plan replacements.

Automate cloud audit evidence collection for healthcare: secure logs, map controls to HIPAA/HITRUST, and maintain defensible audit trails.

Assigning liability when AI shapes clinical decisions—reviews clinician, hospital, and vendor duties, governance, audits, and bias controls.

Threats to healthcare AI—data poisoning, adversarial and extraction attacks—and defenses: adversarial training, monitoring, and secure data pipelines.

Examines data privacy, vendor opacity, model poisoning, and compliance gaps in healthcare AI supply chains — plus governance, contracts, and automated risk tools.

Five practical steps to build cloud incident response in healthcare: inventory assets, choose tools, create playbooks, train teams, and monitor continuously.

Five practical steps to assess SOC 2 reports for healthcare vendors: check scope, report type, management assertions, controls testing, and deficiencies.

Five practical steps to assess SOC 2 reports for healthcare vendors: check scope, report type, management assertions, controls testing, and deficiencies.

Five actionable steps to identify and protect PHI—classify data, anonymize/mask, enforce encryption and RBAC, train staff, and audit vendors for HIPAA compliance.

2025 HIPAA cloud rules require AES-256/TLS encryption, mandatory MFA, microsegmentation, faster breach timelines, biannual scans, and stronger vendor oversight.

Practical 10-step checklist for healthcare teams to prepare for SOC 2 audits: scope, controls, documentation, staff training, testing, auditor selection, and continuous monitoring.

Overview of FDA rules requiring SBOMs, timely patches, and postmarket monitoring for connected medical device suppliers.

SBOMs are essential for medical device safety; FDA now requires machine-readable SBOMs, lifecycle metadata and VEX for submissions.

Compare internal and third-party audits for healthcare IoT devices to balance cost, objectivity, and regulatory readiness.

Key cloud PHI audit metrics—access controls, encryption, audit logs, vendor risk, and recovery—plus benchmarks and tools.

Compare seven IAM platforms for healthcare, focusing on HIPAA compliance, EHR integration, deployment speed, and scalability.

FDA now requires suppliers to treat medical device cybersecurity as a regulated, ongoing responsibility that can block market access.

How healthcare organizations use the NIST Privacy Framework to prepare audits, map controls, and improve PHI risk management.

Overview of 10 PHI storage essentials: encryption, RBAC/MFA, audit logs, backups, DLP, BAAs, HSMs, monitoring, scalability, 24/7 support.

Healthcare IT risk assessment tools combine NIST/HIPAA compliance, continuous monitoring, vendor oversight, and AI to protect ePHI.