Project Grant 2338479
- This federal Project Grant award for $300,000, provided by the National Science Foundation (NSF) through the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support the "AI Horizon: Forecasting Cybersecurity Workforce Evolution and Adaptive Skill Development" initiative. This initiative aims to develop a data-driven forecasting framework to predict how AI will transform cybersecurity tasks, enabling educators to rapidly adapt curricula. The project...
- This CAREER award of $369,693 from the National Science Foundation's Division of Information and Intelligent Systems (Computer and Information Science and Engineering program, CFDA 47.070) supports a five-year research initiative (October 1, 2025 – September 30, 2030) at Virginia Polytechnic Institute & State University to develop an advanced cybersecurity defense framework leveraging large language models (LLMs). The project addresses critical vulnerabilities in current threat detection...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a learner-centered artificial intelligence (AI) co-pilot tool to crowd-source the curation of comprehensive cybersecurity attack artifacts. The $299,999 award to the Rochester Institute of Technology (RIT) aims to leverage large language models and techniques like prompt engineering to guide users in emulating end-to-end...
- Arizona State University received a $300,000 project grant award from the National Science Foundation on May 1, 2021 to develop artificial intelligence tools and resources for cybersecurity education. The funding supports the EAGER: SATC-EDU project to create a machine learning-enabled security knowledge graph for integrating AI into cybersecurity curriculum from April 30, 2023. The grant falls under the National Science Foundation's STEM Education program (CFDA 47.076), which aims to strengthen...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Computer and Network Systems awarded a CAREER grant of $364,538 to The Trustees of The Stevens Institute of Technology, effective July 1, 2026, through June 30, 2031, under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). This project develops artificial intelligence (AI)-assisted tools and methodologies for automated vulnerability management in open-source software, addressing the...
- Federal Project Grant Award Summary Duke University's Office of Research Administration received a $220,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) beginning October 1, 2025 and concluding September 30, 2029. This collaborative research initiative addresses critical cybersecurity vulnerabilities in large language model (LLM)-integrated...
- This $600,000 National Science Foundation project grant will fund the development of an Artificial Intelligence-Enabled Vulnerability Assessment and Remediation framework at Colorado State University-Pueblo from August 2022 to July 2025. The framework aims to address challenges in effectively assessing and prioritizing the hundreds of thousands of vulnerabilities often identified across multiple virtual environments in cloud infrastructures through two research thrusts. The first thrust will...
- Federal Grant Award Summary The University of Michigan received a $155,000 Project Grant from the National Science Foundation's Division of Information and Intelligent Systems under the Computer and Information Science and Engineering program (CFDA 47.070), effective October 1, 2025 through September 30, 2027. This collaborative research initiative develops generative artificial intelligence (GenAI) methods to enhance machine learning-based security classifiers by addressing data challenges in...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to North Carolina Agricultural and Technical State University aims to train a diverse research workforce to develop and use fair, ethical, and unbiased AI-based cybersecurity solutions for cloud computing infrastructure. The project will develop and integrate seven advanced experiential learning modules, referred to as AI4SecureCI, into...
- The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $299,905 Project Grant to Loyola University of Chicago to develop and evaluate a comprehensive 12-workshop experiential training program to raise awareness among AI practitioners of the cybersecurity and privacy risks associated with building AI-based systems. The project aims to provide knowledge and skills needed to build AI systems that are secure, ethical, and privacy-preserving. The workshop...
This $232,464 federal Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program supports the development of artificial intelligence (AI)-enabled analytics techniques to identify emerging cyber threat trends and link exploits to vulnerabilities. The funding will enable researchers at Indiana University to create a novel Diachronic Graph Transformer (DGT) model to detect and predict shifting exploit terminology and semantics, as well as a self-supervised Neural Information Retrieval method to link hacker exploits to specific system vulnerabilities. The data and methods produced will be integrated into cybersecurity education offerings, including new course content for an AI for Cybersecurity course at Indiana University, as well as resources for NSF CyberCorps institutions and online learning modules. This research aims to advance proactive approaches to cyber threat intelligence analysis, which could help prevent many cyber attacks by identifying emerging attack vectors before they are exploited.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $232.5k | 2/15/24 |