Industry Perspectives

Compare GDPR and HIPAA consent rules for health data, penalties, breach timelines, and practical steps for dual compliance.

HIPAA vs HITRUST: legal rules vs voluntary certification—key differences, costs, and when to use each for protecting healthcare data.

Six-step guide to contain third-party healthcare breaches, meet HIPAA notification timelines, and restore systems to protect patient data.

ISO 27701:2025 explains how healthcare organizations can protect patient data, manage AI/IoT risks, and simplify privacy audits.

Step-by-step HITECH risk analysis: define ePHI scope, assess threats, prioritize risks, implement safeguards, and document monitoring.

NIST CSF 2.0 makes 'Govern' a core function, shifting cybersecurity to C-suite oversight with supply-chain focus for healthcare.

Explore how healthcare leaders balance AI, cybersecurity, and patient outcomes, with insights on cost-saving strategies and future trends.

CareCloud confirms March 16 breach of an EHR environment; attackers had access for over eight hours. Investigation ongoing.

Iowa HHS accidentally posted Medicaid data for 6,717 members; IDs exposed, no names or health info.

Overview of FDA SBOM rules for Class II/III medical device suppliers, required SBOM elements, timelines, and postmarket updates.

FDA expectations for vendors on risk-based patching, testing, metrics, SBOMs, and compensating controls to protect patients and ensure compliance.

Vendor compliance checklist for healthcare: inventory, risk tiers, due diligence, continuous monitoring, audits, offboarding.

Clear summary of 2026 PHI retention rules: HIPAA's six-year compliance requirement, federal and state record timelines, and disposal best practices.

Centralize and visualize third-party vendor risks so boards and compliance teams can prioritize, act, and track remediation.

Practical governance, risk management, and implementation steps to deploy AI safely in health systems and protect patients.

How healthcare leaders can govern AI, manage vendor risk, and balance innovation with patient safety and compliance.

Healthcare organizations must align teams, data infrastructure, and governance to deploy AI safely, build trust, and scale effectively.

How healthcare organizations map EU, US, and China AI rules to local operations, automate compliance, and manage vendor risk.

Healthcare AI demands coordinated FDA, FTC, HHS, and DOJ compliance—manage device risk, privacy, bias audits, and postmarket controls.

Tamper-proof audit trails are essential to ensure compliance, data integrity, and accountable decision-making in healthcare AI.

Explains HIPAA requirements for healthcare AI, privacy risks like shadow AI and model memorization, and practical safeguards.

Healthcare AI demands tighter HIPAA and NIST-aligned controls—risk assessments, vendor oversight, and human review are essential.

AI reshapes healthcare cybersecurity: new AI-driven threats, faster detection, and steps to meet 2026 HIPAA rules.

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