AI should simplify discovery, not compromise trust. At DrugBank, we use AI to make biomedical data easier to explore and apply, but always within a framework that prioritizes security, privacy, and accountability.
Privacy is non-negotiable. Sensitive or proprietary customer data is never used to train external models, and any information handled by AI is protected by our encryption, governance, and access control standards. Data is processed only for the purposes our customers authorize.
Transparency is central to our approach. We communicate AI’s limitations clearly, encourage human oversight, and design outputs to be reviewable and explainable so customers can validate results with confidence.
Security is designed in from the start. All AI features are reviewed for risk before release, deployed within our secure cloud infrastructure, and continuously monitored. Audit trails and logging ensure interactions are traceable and accountable.
AI evolves with us. We test, refine, and improve systems continuously, aligning with global best practices and regulatory frameworks while integrating feedback from our customers.
In short, value and your trust guides our choices and we apply AI where it delivers the most impact: reducing friction, accelerating research, and surfacing insights; without over-automation or black-box approaches that erode trust.