Healthcare

Safeguard Privacy. Accelerate AI. Advance Care.

IronShard delivers uncompromising privacy, HIPAA/HITRUST/GDPR compliance, and AI-ready storage to power the future of healthcare. From EHRs to imaging and genomics, IronShard provides secure, zero-trust foundations for clinical data, enabling healthcare organizations to train and deploy AI models responsibly without risking patient trust or compliance.

Built on a privacy-first, zero-trust architecture, IronShard ensures that every patient record, diagnostic image, and genomic dataset is encrypted, pseudonymized, and governed with fine-grained access controls. At the same time, healthcare providers, researchers, and AI agents can collaborate globally on petabyte-scale datasets with full transparency, lineage, and reproducibility.

The Challenge

• Rising ransomware and cyber threats target EHRs, imaging, and genomic data, risking continuity of care.
• Strict regulations such as HIPAA, HITRUST, 42 CFR Part 2, GDPR, and FDA 21 CFR Part 11 govern every workflow.
• Global collaboration in research requires secure sharing of insights without exposing raw patient data.
• AI-driven healthcare demands petabyte-scale storage that supports compliant ML and federated learning pipelines.

Our Approach: Zero Trust Storage for Clinical & Research Workflows

• Zero-Trust Design: Every query, clinician, and AI agent is authenticated, verified, and logged.
• Encryption and Pseudonymization: Data is anonymized before leaving hospital custody.
• Geo-Distributed Storage: Datasets are fragmented across trusted regions, enabling control, geo-pinning, and instant failover.
• Automated Compliance Guardrails: Built-in HIPAA/HITRUST/FDA templates ensure every AI access event is compliant and auditable.
• AI-ready Storage Tier: Versioning, explainability, and lineage built into every dataset to meet FDA and EU AI Act requirements.
• Continuity of Care: Even during ransomware attacks, encrypted patient records automatically fail over to alternate nodes, ensuring treatments continue without disruption.

AI Spotlight: Secure Healthcare AI in Action

AI-Powered Radiology Triage.

Imaging centers use AI agents to pre-screen CT and MRI scans for anomalies such as strokes or tumors. Each AI inference and dataset access needs to be logged and HIPAA- and GDPR-compliant, ensuring transparency and explainability. Radiologists receive prioritized cases within minutes, while raw imaging data should never leaves secured custody.

Next-Generation Genomics Research.

Institutes and research centers manage petabytes of genomic data across regions with strict compliance boundaries. AI training pipelines must run on encrypted, fragmented, and versioned datasets, ensuring security and reproducibility. Each dataset should carry full data lineage, enabling explainable results that meet FDA and EU AI Act standards for medical AI.

Key Benefits

• Compliance by Default
  Preconfigured policies for HIPAA, HITRUST, GDPR, 42 CFR Part 2, and FDA 21 CFR Part 11.
  Pass audits and respond to DSRs in hours, not weeks.
• Zero-Trust AI Data Access
  Role-based access controls and machine-enforced policies prevent insider threats and unauthorized AI data access.
• Resilient Patient-Centric Care
  Geo-resilient storage guarantees continuous access to EHRs and imaging, even during outages or ransomware incidents.
• AI-Ready Clinical Storage
  Compliance-first pipelines support explainable, auditable, and ethical medical AI/ML workflows.
• Petabyte-Scale Imaging and Genomics
  Efficient ingest, compression, and distributed object storage designed for rapidly expanding healthcare datasets.