AI Cybersecurity Grants

AI Cybersecurity Grants is sponsored by Various (listed on GrantWatch, but original funder not specified in search results). Organizations, businesses, and innovators can apply for funding to build AI-powered cybersecurity solutions. This opportunity supports projects at the forefront of the digital battlefield.

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gov Maintenance Calendar View similar opportunities Cybersecurity Innovation for Cyberinfrastructure U.S. National Science Foundation U.S. National Science Foundation Document Type:Grants Notice Funding Opportunity Number:25-531 Funding Opportunity Title:Cybersecurity Innovation for Cyberinfrastructure Opportunity Category:Discretionary Opportunity Category Explanation: Funding Instrument Type:Grant Category of Funding Activity:Science and Technology and other Research and Development Expected Number of Awards:20 Assistance Listings:47.

070 -- Computer and Information Science and Engineering Cost Sharing or Matching Requirement:No Last Updated Date:Jan 29, 2026 Original Closing Date for Applications:Apr 02, 2025 Current Closing Date for Applications:Jan 20, 2027 Archive Date:Feb 15, 2030 Estimated Total Program Funding:$ 12,000,000 Eligible Applicants:Others (see text field entitled "Additional Information on Eligibility" for clarification) Additional Information on Eligibility:*Who May Submit Proposals: Proposals may only be submitted by the following: -Non-profit, non-academic organizations: Independent museums, observatories, research laboratories, professional societies and similar organizations located in the U.S. that are directly associated with educational or research activities.

-Institutions of Higher Education (IHEs): Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members.

Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of sub-awards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.

## Additional Information Agency Name:U.S. National Science Foundation Description:The objective of the Cybersecurity Innovation for Cyberinfrastructure (CICI) program is to advance scientific discovery and innovation by enhancing the security and privacy of cyberinfrastructure.

CICI supports efforts to develop, deploy and integrate cybersecurity that will benefit the broader scientific community by securing science data, computation, collaborations workflows, and infrastructure.

CICI recognizes the unique nature of modern, complex, data-driven, distributed, rapid, and collaborative science and the breadth of infrastructure and requirements across scientific disciplines, practitioners, researchers, and projects. CICI seeks proposals in four program areas: 1.

Usable and Collaborative Security for Science (UCSS): Projects in this program area should support novel and/or applied security and usability research that facilitates scientific collaboration, encourages the adoption of security into the scientific workflow, and helps create a holistic, integrated security environment that spans the entire scientific cyberinfrastructure ecosystem. 2.

Reference Scientific Security Datasets (RSSD): Projects in this program area should leverage instrumented cyberinfrastructure to capture metadata from scientific workflows and workloads as reference data artifacts that can help support reproducible security research, testing and evaluation. 3.

Transition to Cyberinfrastructure Resilience (TCR): Projects in this program area should improve the robustness, trustworthiness, integrity, and/or resilience of scientific cyberinfrastructure through testing, evaluation, hardening, validation, and technology transition of novel cybersecurity research. The TCR area further encourages transition activities that advance the deployment and use of reproducibility in CI, workflows, and data.

4. Integrity, Provenance, and Authenticity for Artificial Intelligence Ready Data (IPAAI): Projects in this program area should enhance confidence and reproducibility in AI produced scientific results by improving the integrity, provenance, and authenticity of scientific datasets used by Artificial Intelligence systems.

Link to Additional Information:NSF Publication 25-531 Grantor Contact Information:If you have difficulty accessing the full announcement electronically, please contact: If you have any problems linking to this funding announcement, please contact the email address above. ## Similar Opportunities (identified by AI) #### Health & Human Services * Frequently Asked Questions ## Your session will expire in 3 minutes.

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