Uploaded January 2026 | Updated September 2026, 3 weeks ago
The convergence of AI and the life sciences has driven the development of biological AI tools with a range of beneficial applications. However, some of these tools have also raised concerns among biosecurity experts that they could be misused by malicious actors to cause harm, including by making it easier to engineer dangerous pathogens.
NTI | bio’s paper, A Framework for Managed Access to Biological AI Tools, proposes a managed access approach—allowing only validated users to access tools that contribute to biosecurity risks—a key path towards reducing the risk that such tools will be deliberately misused to cause harm. The paper offers recommendations for funders, model developers, and hosting services to support implementation of managed access.
Informed by interviews with more than 20 experts in biosecurity, biological AI tool development, and bioscience research, the framework adopts two central principles:
1) Access should be tiered based on the tool’s risk level.
2) The need for security should be balanced with the need to provide equitable access.
The framework seeks to reduce the risk of misuse without limiting the incredible potential of these tools to benefit humanity.
This virtual event presents an overview of the framework and its potential impact on the risk landscape, discuss how it could be adopted by the scientific community, and how managed access is fundamental for enabling other forms of built-in guardrails.
The convergence of AI and the life sciences has driven the development of biological AI tools with a range of beneficial applications. However, some of these tools have also raised concerns among biosecurity experts that they could be misused by malicious actors to cause harm, including by making it easier to engineer dangerous pathogens.
NTI | bio’s paper, A Framework for Managed Access to Biological AI Tools, proposes a managed access approach—allowing only validated users to access tools that contribute to biosecurity risks—a key path towards reducing the risk that such tools will be deliberately misused to cause harm. The paper offers recommendations for funders, model developers, and hosting services to support implementation of managed access.
Informed by interviews with more than 20 experts in biosecurity, biological AI tool development, and bioscience research, the framework adopts two central principles:
1) Access should be tiered based on the tool’s risk level.
2) The need for security should be balanced with the need to provide equitable access.
The framework seeks to reduce the risk of misuse without limiting the incredible potential of these tools to benefit humanity.
This virtual event presents an overview of the framework and its potential impact on the risk landscape, discuss how it could be adopted by the scientific community, and how managed access is fundamental for enabling other forms of built-in guardrails.
