A digital health technology provider operating an advanced, AI-driven health data processing pipeline engaged Accorian to perform a comprehensive Red Team assessment. Managing sensitive patient health data requires stringent security across every layer of the machine learning architecture, from ingest and retrieval-augmented generation (RAG) components to backend analytical execution environments. The client sought to validate whether sophisticated threat actors could bypass existing application boundaries, manipulate clinical outputs, or gain access to restricted data stores.
Accorian’s ethical hacking specialists demonstrated critical injection vulnerabilities that allowed remote code execution within the data execution pipeline, uncovered RAG data poisoning techniques capable of skewing AI-generated health responses, and exposed exploitable weaknesses in API tokens and ML access controls. Accorian worked closely with the client’s engineering and compliance teams to remediate execution sandboxes, implement strict token scoping, and deploy validation controls that ensure data integrity and safeguard patient confidentiality.
