High Precision Systems Holding, operating within Rostec State Corporation, has announced the completion of a new air defense system development. The Ptitselov anti-aircraft missile system has been completed for deployment on the chassis of the BMD-4M airborne assault vehicle, intended for the Russian Air Force. This development is being reported through official channels and defense news outlets.
Officials noted that a similar system was produced for the Air Force based on the BMD-4M platform, highlighting parallel efforts to integrate advanced air defense capabilities on mobile armored platforms. The emphasis is on rapid reaction and high maneuverability in contested airspace, leveraging the integration of missile systems with light armored chassis to provide versatile protection for airborne formations and rapid-deployment units.
In related announcements, it is stated that a short-range air defense arrangement derived from the BMP-3 platform, equipped with the Sosna combat module, has reached a testing phase. This module is designed to intercept aerial threats at relatively close distances and to operate in concert with other air defense layers within a broader defense architecture.
Earlier communications from Kurganmashzavod, a key enterprise within High Precision Systems, indicated that the BMP-3 infantry fighting vehicle demonstrated capabilities against certain armored threats at significant stand-off ranges through guided weapon engagement. The company has continued to emphasize the scalability of its tracked platforms and their compatibility with modern guided munitions to extend battlefield reach and lethality.
Rostec’s public channels have periodically underscored ongoing efforts to boost BMP-3 production and to advance a family of defense systems that can be integrated with existing armored vehicle fleets. The overarching goal is to enhance mobility, protection, and firepower through modular systems that can be adapted to evolving tactical requirements while ensuring interoperable communications and sensor fusion across platforms.