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Find similar grantsAims to build an AI red team to assess AI-enabled battlefield systems.
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SABER | DARPA is funded by DARPA. Verify program details on the funder's official page before applying.
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Securing AI for Battlefield Effective Robustness (SABER) is sponsored by Defense Advanced Research Projects Agency (DARPA). SABER aims to develop an exemplar AI red team equipped with counter-AI techniques, tools, and technical competency to operationally assess AI-enabled battlefield systems. The program seeks to establish a sustainable model for an operational AI red teaming process for the DoD, targeting autonomous ground and aerial systems. This includes surveying, evaluating, selecting, developing, and employing state-of-the-art physical, adversarial AI, cyber, and electronic warfare techniques and tools.
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.
DPA26BZ06-DV023 is a Direct-to-Phase-II SBIR paying $700,000 over 18 months plus a $500,000 option. The physics demands 256x more transmit power than the systems that qualify you to compete, and DARPA will not accept modeling alone as proof. Here is the eligibility wall, the five engineering problems, and who can realistically win it before the October 21 close.
Read articleRelease 6's SBIR topics got the attention. Its three STTR topics — SHIELDER, fuel-flexible electric propulsion, and hypersonic wind tunnel noise diagnostics — are all Direct-to-Phase-II, all require a research institution to perform at least 30 percent of the work, and all close October 21, 2026. The feasibility gates are the real filter.
Read articleDPA26BZ06-DV026 offers $300,000 at Phase I or $1,800,000 as a single Direct-to-Phase-II tranche with no options. The deliverable is a simulated auction market that measures whether AI agents deceive, collude, or manipulate the humans they serve — measured entirely from the outside. Here is the 90% efficiency gate, the team composition most bidders will get wrong, and why this topic sits in DARPA's biology office.
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