Blog

Basel, Switzerland – October 28, 2025 –
In Life Sciences, adopting AI brings new questions of control and accountability. This blog explores the practical risks of building versus buying AI systems, and how governance, validation, and supplier oversight keep innovation compliant and under control.

Basel, Switzerland – October 13, 2025 –
A security strategy only works when it shapes daily choices. In Life Sciences, it has to connect risk, frameworks, and lifecycle so that protection, compliance, and innovation move together. This blog looks at how to build strategies that stay active instead of gathering dust.

Basel, Switzerland – August 28, 2025 –
AI may dominate the headlines in 2025, but Life Sciences cybersecurity still hinges on four enduring priorities: Identity, Validation, Resilience, and Usability.

Basel, Switzerland – July 17, 2025 –
Federated governance is often the hardest part of implementing data mesh—especially in Life Sciences.
In this blog, we share how MIGx helps biopharma organisations navigate decentralisation, balance risk, and build compliant, scalable data strategies tailored to the realities of regulated environments.

Basel, Switzerland – July 2, 2025 –
How can federated governance work in biopharma?
Our latest blog explores key challenges and practical solutions for applying data mesh in the Life Sciences sector.

Basel, Switzerland – May 13, 2025 –
In this blog, we explore how to approach multilingual toxicity assessment at scale — balancing AI-driven efficiency with human oversight, contextual accuracy, and cultural sensitivity.

Basel, Switzerland – April 29, 2025 –
In this blog, we explore MIGx’s structured approach to AI agent validation, highlighting how clear scoping, comprehensive assessments, and regulatory-grade reporting lay the groundwork for the safe, compliant, and effective deployment of AI in regulated Life Sciences environments.

Basel, Switzerland – April 15, 2025 –
What does it take to test AI agents in highly regulated environments like pharma and biotech? We break down the core building blocks—metrics, benchmarks, and test data—that form the foundation of trustworthy evaluation.