The U.S. Navy is expanding its use of artificial intelligence with Domino Data Lab to detect Iranian mines in the Strait of Hormuz, aiming to accelerate mine-detection capabilities in a critical global choke point.

This effort comes as part of ongoing Hormuz-area mine-clearing operations amid heightened U.S.-Iran tensions and a fragile ceasefire that complicates maritime security and energy routes.

Officials say the new method can significantly shorten the time to update detection algorithms, boosting responsiveness to evolving threats.

Navy officials emphasize speed as a core value, with Domino's tech enabling unmanned underwater vehicles to adapt to new mine threats in about a week, a drastic gain from typical timelines.

The project fits into broader U.S. efforts to modernize regional military capabilities to counter threats and safeguard international commerce.

The move, announced amid rising regional tensions in May 2026, aims to reassure international shipping and potentially lower maritime insurance costs by demonstrating digital and physical clearance of lanes with minimal risk.

This initiative reflects a broader push to increase accuracy and reduce reliance on human operators in high-risk maritime conditions, strengthening security along a critical energy transit corridor.

Domino’s software aggregates data from sensors like side-scan sonar and visual imaging, enabling monitoring and governance of AI models to improve field performance.

Domino Data Lab’s leadership says the approach enables rapid training and deployment of AI models for unmanned vehicles, creating a digital protection layer for global energy flows.

The effort is framed as addressing strategic vulnerabilities in the Strait of Hormuz by moving toward AI-driven mine detection and safer maritime operations.

Overall, the strategy envisions turning mines into visible targets for AI-enabled unmanned systems to protect sea lanes and the energy supply chain.

The initiative shifts from traditional ship-based mine hunting to fast, data-driven, autonomous methods, enabling quicker threat response.