AI Security & Red Teaming for Pharmaceuticals
In pharma, AI that touches regulated processes lives under GxP, and FDA expects validated systems with documented controls, not unproven tools bolted onto submissions. An assistant that synthesizes evidence, drafts regulatory text, or screens pharmacovigilance signals is handling data where a fabricated citation or a leaked adverse event is a compliance failure with patient-safety weight. Prompt injection through scientific literature and case reports is a genuine exfiltration and integrity risk. We red-team these systems for injection, leakage, and output manipulation, then deliver hardening and documentation that fits validated-system expectations and survives an inspection.
AI Security & Red Teaming, built for pharmaceuticals
We threat-model against GxP-relevant risks: integrity of evidence synthesis, fabrication or alteration of submission content, and leakage of unblinded or pharmacovigilance data.
We run indirect injection tests by planting adversarial content in the literature, case reports, and documents the model ingests, proving whether it can be steered or made to exfiltrate.
We test output integrity, verifying the system cannot be pushed to invent citations, misrepresent evidence, or drop a safety signal under adversarial pressure.
We harden with provenance controls, guardrails, and validation-ready documentation so testing maps cleanly onto your computer-system validation and GxP records.
Where it pays off in pharmaceuticals
Literature poisoning tests
We embed adversarial instructions in ingested papers and case reports to confirm the model cannot be steered into bad synthesis or data exfiltration.
Submission integrity
We probe whether a regulatory-drafting assistant can be pushed to fabricate citations or alter evidence in a way that would compromise an FDA submission.
Pharmacovigilance signal abuse
We test that adverse-event and signal data cannot leak or be suppressed under adversarial input.
Validated-system evidence
We produce documentation that slots into your computer-system validation and GxP records, ready for inspection.
Pharma clients harden their AI against evidence-integrity and exfiltration attacks and receive validation-ready documentation, lowering the risk of an inspection finding on AI-assisted work.
Pharmaceuticals AI, answered
Yes. We design the engagement so threat modeling, test execution, and remediation generate records that map onto your computer-system validation. The output supports, rather than sits outside, your GxP documentation.
That is a core test. We apply adversarial pressure and poisoned source content to see whether the system invents references, misstates findings, or drops a safety signal, then we harden provenance and output controls to prevent it.
We treat that data as the crown jewels of the engagement. Testing uses scoped access and synthetic stand-ins where possible, and we specifically probe whether adverse-event or unblinded data can leak through the model or its tools.
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