Industry Perspectives

Explore how HITRUST CSF enhances AI security in healthcare cloud systems, addressing unique risks and ensuring compliance with regulatory standards.

Explore the critical differences between HIPAA and HITECH regulations regarding Business Associate Agreements and their impact on healthcare data security.

Practical guide to HITECH compliance training: role-based topics, cybersecurity threats, vendor requirements, recordkeeping, and LMS best practices for audits.

Practical guidance on HIPAA identity controls — MFA, RBAC, vendor BAAs, zero trust, and audits to protect ePHI and sustain compliance.

A significant number of healthcare organizations reveal they have incomplete HIPAA safeguards, risking patient data and facing severe penalties.

Compare HIPAA Safe Harbor vs Expert Determination: pros, cons, and trade-offs in data utility, re-identification risk, cost, and compliance.

HIPAA obligations for supply-chain vendors handling PHI, common gaps, and a 4-step framework: inventory, BAAs, continuous risk monitoring, and governance.

Cloud PHI retention demands a documented six-year baseline, strict encryption, BAAs, and secure deletion to avoid costly HIPAA violations.

The rapid growth of data sharing in healthcare highlights significant gaps in HIPAA compliance, posing risks to patient privacy and security.

Learn how to secure cloud-based PHI with HIPAA-compliant encryption standards, key management practices, and essential risk management strategies.

The 2025 HIPAA encryption updates mandate stronger security measures for electronic health information, emphasizing compliance and cloud data protection.

Why continuous monitoring outpaces annual audits for HIPAA in AI-driven healthcare—and how a combined approach protects PHI, lowers risk, and speeds compliance.

Overview of HIPAA Safe Harbor and Expert Determination, anonymization techniques (k-anonymity, NLP, imaging), and governance to limit re-identification risk.

Step-by-step HIPAA guide for onboarding vendors handling PHI: classify risk, collect BAAs and security evidence, run risk assessments, and maintain continuous monitoring.

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

Build HIPAA-compliant healthcare APIs with encryption, OAuth 2.0, FHIR, logging, secure deployment, and third-party risk controls.

Clear HIPAA guidance for encrypting AI systems that handle PHI: AES‑256 at rest, TLS 1.2+ in transit, strong key management, BAAs, vendor oversight, and testing.

Why encryption alone won’t stop HIPAA breaches: secure key management, shared-responsibility models, and CMK/PMK/BYOK options to protect ePHI in the cloud.

Only 25% of U.S. health systems meet HHS cybersecurity standards, exposing millions of patients to risks. Explore the barriers and solutions.

Explore the critical differences and overlaps between GDPR and HIPAA compliance in healthcare, highlighting risk assessments and data protection strategies.

Compare GDPR anonymization and pseudonymization in healthcare—how each affects re-identification risk, data utility, and compliance obligations.

Cyberattacks in healthcare threaten patient safety, disrupting care and compromising medical devices, necessitating immediate action and robust cybersecurity measures.

AI tools promise stronger cybersecurity, but without proper oversight they can expose healthcare organizations to data leaks, adversarial attacks, and system manipulation. This guide breaks down how AI tools become risks, real‑world healthcare failures, and the governance strategies needed to keep AI as an asset—not a threat.

AI automates detection, triage, and containment to cut healthcare breach response from days to hours while preserving HIPAA compliance and clinical safety.