Industry Perspectives

Visibility alone isn't enough: pair SBOMs with IEC 81001-5-1/QMS, vendor SLAs, and platform-scale management for FDA compliance.

Six-part compliance stack - GDPR, ICO, NHS, WHO, OECD, ENISA - practical checklist to govern healthcare AI across the full lifecycle.

Six controls—policy, inventory, risk review, sanitization, chain-of-custody, and vendor proof—plus six-year records to secure PHI disposal.

Machine-readable SBOMs, VEX, and update processes for medical devices to meet FDA and EU cybersecurity requirements.

Learn 5 steps for healthcare breach recovery, from outage response and claims backup to clearinghouse redundancy and cyber risk planning.

Four-step framework to map data flows, confirm HIPAA/GDPR rules, validate cross-border security controls, and monitor PHI vendors.

Learn 4 rules for safe AI network governance, from policy guardrails and compliance checks to network visibility and agent controls.

AI speeds threat discovery and dynamic risk scoring in the clinical SDLC, but human oversight, traceability, and governance remain essential.

Patch management is a lifecycle safety duty: track SBOMs, assess clinical risk before each update, and keep audit-ready records per FDA.

Connected medical devices require complete premarket cybersecurity evidence and active postmarket controls to avoid review delays and enforcement.

FDA requires device-level proof for cryptography: use current algorithms, test failure cases, document key lifecycle and traceability.

Compare Safe Harbor vs Expert Determination for mHealth apps; remove device IDs, location, free text; test, document, and reassess.

Data integrity failures endanger patients; secure access, validate interfaces, and verify restores before cutover.

Compare cyber threats to device component suppliers—patient safety, production downtime, software supply-chain and firmware risks.

Encryption is non-negotiable: map ePHI, encrypt at rest and in transit, control keys and vendors, and keep audit-ready documentation.

Guide to FDA, HIPAA, ONC/CMS, and governance requirements for AI in healthcare, with lifecycle and monitoring priorities.

Off-the-shelf software in medical devices creates unpatched, hidden-dependency, and end-of-support risks; SBOMs, inventories, and contracts reduce exposure.

Secure device onboarding reduces risk: verify identity at first connect, segment networks, harden settings, and monitor devices.

Step-by-step guide to inventory OSS, map PHI exposure, assess vulnerabilities and maintainer health, and prioritize fixes for healthcare.

Start threat modeling early, auto-generate SBOMs in CI, show traceable threat→control→test evidence, and publish runnable postmarket plans.

Update NPPs by Feb 16, remove vacated reproductive language, audit tracking pixels, tighten cybersecurity, and document compliance.

Assess, contain, notify, and document telemedicine PHI breaches under HIPAA; roles, timelines, BAAs, and corrective steps.

Predictive models score EHR, device, network, identity, and vendor signals to flag threats early while preserving clinical safety.

Treat cloud IAM as the control plane for ePHI: one account per person, enforced MFA, least privilege, and protected audit logs.