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Pharmaceuticals & Life Sciences

AI Evaluation & Red Teaming for Pharmaceuticals & Life Sciences

AI Evaluation & Red Teaming for pharmaceuticals & life sciences, built around the constraint that defines the sector: GxP validation means every system change needs documented evidence before it reaches production.

Regulations in scope
5
Systems we integrate
5
Typical first release
6 weeks
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What changes when it is pharmaceuticals & life sciences

The regression suite is the lasting deliverable. A one-off audit ages out in a month; tests in CI keep working after we leave.

In pharmaceuticals & life sciences, GxP validation means every system change needs documented evidence before it reaches production. That single fact reshapes how ai evaluation & red teaming has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is regulatory dossier assembly, usually integrated against SAP. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Built by engineers who ship production systems, not by a practice that subcontracts the build. Six weeks to something running in production, not six quarters to a strategy document.

The sector constraints we design around

Defining constraint
GxP validation means every system change needs documented evidence before it reaches production
Regulations in scope
CDSCO · US FDA 21 CFR Part 11 · EU GMP Annex 11 · GxP validation · ICH guidelines
Systems of record
LIMS · QMS · eTMF · SAP · pharmacovigilance databases
Where we usually start
batch record review

AI Evaluation & Red Teaming workloads in pharmaceuticals & life sciences

  • batch record review
  • adverse event intake and coding
  • regulatory dossier assembly
  • deviation and CAPA drafting
  • literature monitoring

What is included

  • Evaluation set built from your real domain
  • Adversarial prompts including injection and jailbreak attempts
  • Hallucination rate measured, not estimated
  • Bias testing where the use case warrants it
  • Regression suite wired into your CI
  • Findings report with severity and remediation

Questions from this sector

Can an AI system be GxP validated?

Yes, with a documented validation approach, IQ/OQ/PQ, defined intended use, change control and evidence of consistent performance. We build the validation pack alongside the system, not afterwards.

How do you handle 21 CFR Part 11?

Audit trails, electronic signatures, access control and record integrity designed in from the start, because retrofitting them is effectively a rebuild.

What is prompt injection?

An attack where instructions hidden in content the model reads, an email, a web page, an uploaded file, override your intended behaviour. It matters the moment your system processes anything a user or third party supplies.

How do you measure hallucination?

Against a labelled question set from your domain with verified answers, reported as a rate rather than an impression.

Do we need this if we use a major provider?

Yes. Provider safety training covers general misuse; it knows nothing about your specific tools, data and permissions, which is where the real risk sits.

AI Evaluation & Red Teaming in other sectors

Financial ServicesBankingInsuranceHealthcare & HospitalsLegal ServicesGovernment & Public SectorSaaS & TechnologyTelecommunicationsDefence & AerospaceEducation & EdTech

Other capabilities for pharmaceuticals & life sciences

AI Evaluation & Red Teaming for pharmaceuticals & life sciences, worth a conversation?

Tell us the workload and the regulation it sits under. We will tell you what is realistic.

Talk to an engineerWhatsApp us

Or email bd@dtrasglobal.com · call +91 74118 77878