Lockheed Martin's GRIZZLY Counter-Drone System Successfully Destroys Attack UAV in Live-Fire Test
Summary
Lockheed Martin successfully demonstrated its GRIZZLY containerized launcher system by shooting down a Group 3 one-way attack drone using a Joint Air-to-Ground Missile (JAGM) in a live-fire test at Yuma Proving Ground, Arizona. The demonstration integrated Lockheed's Sanctum counter-UAS battle management software with Fortem R-40 radars to create a complete detect-track-engage kill chain, with the entire system being integrated and tested in under 45 days. This test built upon an earlier March 2025 live-fire event where a Hellfire missile was successfully launched from the same container system, with the June test adding the JAGM capability and a real drone target. The GRIZZLY system is designed for flexibility and rapid deployment, housing up to eight missiles in a standard 10-foot shipping container with toolless reloading capabilities, and can be operated from both ground installations and naval vessels. Lockheed's investment of $25 million into Fortem Technologies in April has strengthened the partnership that makes this integrated counter-drone capability possible, with the system positioned to address growing Pentagon and allied concerns about escalating drone threats.
Key Takeaways
- 1. GRIZZLY successfully completed its first JAGM-based intercept of a Group 3 attack drone, demonstrating a full kill chain from detection to destruction
- 2. The system was fully integrated and live-fire tested in under 45 days, highlighting rapid development and deployment potential
- 3. GRIZZLY's containerized design holds up to eight missiles, supports toolless reloading, and can be deployed on land or maritime platforms within days
- 4. Lockheed's $25 million investment in Fortem Technologies has deepened radar and interceptor integration into the Sanctum C-UAS ecosystem
- 5. The system aligns with U.S. Navy interest in containerized weapons for unmanned surface vessels, broadening its potential operational applications