Medical data pipeline (imaging, clinical notes, pathology) into a generative model with HIPAA safeguards

Medical Data for Generative AI: Training and Evaluation

Generative AI has moved into healthcare faster than most people expected: drafting clinical notes, summarising patient histories, answering clinician questions against medical literature, and assisting with documentation. These systems are trained and evaluated on medical data, and the requirements are meaningfully stricter than for general generative AI. A general assistant that produces a fluent but […]
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RAG data flow secured with encryption padlocks, access control, and leakage prevention filters

Securing Data in RAG and AI Systems: Access and Leakage

Traditional application security assumes you control what data reaches which user, because the application decides. Retrieval and generative AI systems complicate that assumption in a specific way: the system retrieves material dynamically and synthesises an answer, so a user can receive information they were never explicitly granted, expressed in a form that no access rule […]
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