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The IARPA BENGAL (Building Evaluations for Neural Generation of Adversarial Language) program aims to understand, quantify, and assess large language model (LLM) threat modes and vulnerabilities for the Intelligence Community. The program addresses potential security risks within LLMs by developing evaluation frameworks, red-teaming methodologies, and detection capabilities for adversarial AI-generated content.
Research areas include LLM vulnerability assessment and characterization, adversarial prompt engineering detection, AI-generated disinformation and deepfake text identification, robustness testing of foundation models, automated evaluation of LLM safety properties, and development of countermeasures against LLM exploitation in national security contexts. Led by Program Manager Dr. Steven Rieber.
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Or search similar grants →According to the current listing, eligibility includes: Open to U.S.-based universities, industry research labs, nonprofit organizations, and federally funded research and development centers. Applicants may need appropriate security clearances for classified work. Contact IARPA Program Manager Dr. Steven Rieber for current solicitation details and BAA information. Confirm the full requirements in the official notice before applying.
The current listing shows varies by project, typically $1M to $5M. Verify award ceilings, matching requirements, and allowable costs in the official notice.
IARPA BENGAL Building Evaluations for Neural Generation of Adversarial Language is funded by Intelligence Advanced Research Projects Activity. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Violence Against Women Discretionary Grants for Indian Tribal Governments is sponsored by Department of Justice. To increase tribal capacity to respond to violent crimes against Indian women, and to develop and strengthen victim services in cases involving violent crimes against Indian women. This listing is currently active. Program number: 16.587. Last updated on 2024-11-26.
The NSF CISE Future Computing Research (Future CoRe) program supports research in computing and communication foundations, intelligent systems, and network systems. The program funds innovative research that advances the frontiers of computing including artificial intelligence, machine learning, computer vision, natural language processing, and robotics. This is one of NSF's largest computing research programs with $280 million in total budget. Projects can address fundamental computing challenges, novel AI architectures, scalable intelligent systems, and next-generation network infrastructure.
On July 22, 2026, the Department of Energy opened its FY26 Genesis Mission SBIR/STTR round — roughly 40 Phase I awards across four topic areas (biotech, quantum, materials, and autonomous labs), a $147 million Phase II pool, and a September 10 pitch deadline. This is how small businesses get inside the $5 billion Genesis Mission. Here is what each topic funds, how the money and timeline work, and the concrete strategy to compete.
Read articleNSF announced three more X-Labs topics on September 16, 2026 — Artificial Intelligence for Physical Systems is live, with Sequence to Function and Computation at the Limit of Physics coming this fall. The Q&A webinar is October 14 and an RFI on future topics closes October 30. The per-topic key-personnel restriction is what should be driving your team-building decisions.
Read articleThe Labor Department's RESTART grants closed April 15, but the $81 million program is a map, not just a deadline. Up to 20 awards, $5.1M ceilings, and a priority list — AI infrastructure, nuclear, advanced manufacturing, domestic minerals — that signals the shape of the next workforce funding cycle. Here is how to read it and position for what comes next.
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