Trust, Safety & Compliance for Ai Agents in Biotech

​Join The Deep-Tech Community for an exclusive discussion on Trust, Safety & Compliance for AI Agents in Biotech. This gathering brings together leading researchers, engineers, executives, and venture capitalists to explore how AI agents can accelerate discovery while maintaining safety, transparency, and compliance across biotech research and development.

​Discussion Highlights

• ​The evolving regulatory landscape for AI in biotech — including FDA, EMA, and emerging international standards.

• ​Ensuring data integrity, reproducibility, and auditability in AI-driven research workflows.

• ​Frameworks for AI agent verification, safety, and compliance in lab automation and biotech pipelines.

• ​Building trustworthy AI systems that can collaborate securely with researchers and lab instruments.

• ​Exploring ethical and safety implications of autonomous agents in genomics, drug discovery, and synthetic biology.

• ​Identifying investment opportunities and industry collaborations shaping the future of responsible biotech innovation.

​This event is part of our mission to foster a safer, verifiable, and interoperable ecosystem for intelligent agents driving the future of biotechnology and scientific research.

Host:
​The Deep-Tech Community:
Our Mission:
We help AI/ML and deep-tech founders succeed faster by bringing the right people and resources together.

SAFE-MCP:
SAFE-MCP is an open-source specification for MCP attack vectors and mitigation techniques, initiated by astha.ai and now part of the OpenID and Linux Foundations, driven by community collaboration.

Astha.ai
Zero Trust Security for AI Agents & MCP Servers.