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DARPA's Securing Artificial Intelligence for Battlefield Effective Robustness (SABER) program aims to establish an operational AI red team capable of assessing military AI systems for adversarial vulnerabilities. The program focuses on operationally assessing AI-enabled autonomous ground and aerial systems that could be deployed within the next 1-3 years.
SABER develops counter-AI techniques and tools for red team operations, with emphasis on practical demonstration of adversarial attacks in operational battlefield settings rather than simulated environments. Technical areas include adversarial AI attacks (evasion, data poisoning, model stealing), autonomous ground and aerial system assessment, and AI robustness evaluation.
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Or search similar grants →According to the current listing, eligibility includes: Open to organizations capable of performing AI security research and adversarial testing. Proposals accepted through DARPA I2O solicitation HR001125S0009. Standard DARPA BAA eligibility applies including academic institutions, commercial firms, and research organizations. Confirm the full requirements in the official notice before applying.
The current listing shows multiple awards anticipated. Estimated $1,000,000 to $5,000,000 per performer based on typical I2O program funding. Solicitation HR001125S0009. Verify award ceilings, matching requirements, and allowable costs in the official notice.
DARPA SABER Securing Artificial Intelligence for Battlefield Effective Robustness is funded by DARPA Information Innovation Office (I2O). 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.
DARPA's DICE program (HR001126S0010) wants the theory and algorithms for a self-organizing collective of AI agents that stays on mission in contested environments with no central controller. It is a 36-month, simulation-only, three-technical-area BAA due August 25, 2026 — and it rewards a rare blend of distributed-systems theory and frontier-model inference control that almost no single lab has under one roof. Here is what DICE is really asking for, who is positioned to win, and how to build a team that can.
Read articleDARPA transferred its first autonomous-ready H-60Mx Black Hawk to the Army on March 20, capping a decade of ALIAS research. Now the same technology underpins an SBIR XL opportunity for small businesses building wildfire autonomy.
Read articleDARPA's FY26 SBIR Release 5 pre-releases August 5, 2026, opens August 26, and closes September 23 — a four-week window. The Department of War now pre-releases SBIR/STTR topics the first Wednesday of every month, turning DARPA solicitations into a predictable annual cadence you can plan around. The most valuable and least-used part is the three-week pre-release period, when you can talk directly to the topic authors before proposals open. Here is how to turn the monthly rhythm and the pre-release window into a real competitive edge.
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