Engage / Grants / Secure AI Grant

Secure AI Grant

This grant program seeks to fund projects that address risks from advanced AI, focusing on four underexplored approaches: security technologies, automating research and forecasting, multi-agent security, and neurotechnology.

Security Technologies

We fund infrastructure that secures frontier AI systems and digital environments, including automated red-teaming, formal verification, and decentralised cryptographic tools.

Automating Research and Forecasting

We support tools that use AI to automate scientific research workflows and generate reliable forecasts of technological change. This includes open-source assistants, continuous modelling systems, and infrastructure for collaborative forecasting.

Multi-Agent Security

We fund work that enables safe and cooperative interactions between humans and AIs—focusing on collusion prevention, group coordination, and pro-social AI agents.

Neurotechnology

We support neuroscience-inspired approaches to AI alignment and human capability—such as brain-computer interfaces, lo-fi brain emulations, and brain-aligned AI models.

A call for project proposals

As advanced AI systems become more capable and widespread, the consequences of their success – or failure – will shape the trajectory of civilisation. We believe this future can go exceptionally well, but it is not guaranteed.

To reduce the risk of catastrophic outcomes and support safer trajectories, we are seeking project proposals within four underexplored areas:

The specific work we are interested in funding is listed on the pages linked above. If your proposal falls within one of our four focus areas, but does not align with the specific types of work we’ve outlined, you are still welcome to apply. However, please note that such proposals are held to a significantly higher bar. We do not accept proposals that fall outside our four focus areas.

How to apply?

Complete the application form linked at the top of this page. Applications are accepted year-round and reviewed quarterly. Submission deadlines are:

Proposals are first reviewed in-house for fit and quality. Strong submissions are sent to technical advisors for further evaluation. If your proposal advances, we may follow up with written questions or a short call. We aim to make decisions within eight weeks of each deadline.

Who can apply?

We accept applications from individuals, teams, and organizations. Both non-profit and for-profit organizations are welcome to apply, but for-profits should be prepared to motivate why they need grant funding.

Funding and terms

For full eligibility criteria, financial details, and documentation requirements, see our Grant Guidelines and Conditions →

Further questions or feedback?

Please contact us at [email protected]

Grantees

Ed Boyden

Boyden Lab

Uwe Kortshagen

University of Minnesota

Konrad Kording

Kording Lab

Adam Gleave

FAR AI

Chris Lakin

Independent

Florian Tramer

ETH Zurich

Harriet Farlow

Mileva Security Labs

Abhinav Singh

University of Oxford

Apart Research

OpenMined

Benjamin Wilson

Metaculus

Lovkush Agarwal

University of Cambridge

Chandler Smith

Cooperative AI Foundation

David Bloomin

MettaAi

Jonas Emanuel Müller

Convergence Analysis

Keenan Pepper

Salesforce

Kola Ayonrinde

MATS

Nora Ammann

PIBBSS

Joel Pyykkö

Independent

Roland Pihlakas

Simplify (Macrotec LLC)

Toby D. Pilditch

University of Oxford

Leonardo Christov-Moore

Institute for Advanced Consciousness Studies

MATS Research

Bradley Love

UCL

Catalin Mitelut

NYU and University of Basel

Jamie Joyce

The Society Library

Marc Carauleanu

AE Studio

Maximillian Schons

Eon Systems

Roman Bauer

University of Surrey

Isaak Freeman

Massachusetts Institute of Technology

PK Douglas

University College London (Honorary)

Tom Burns

SciAI Center – Cornell University

Logan Thrasher Collins

Washington University

Funders

Fund the science of the future.

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