The following piece first appeared on Warrior Maven, a Military Content Group member website.

Military vehicles, aircraft, and ships in combat often have seconds, or even less, to identify and destroy an emerging enemy target, a technical ability that is now more possible due to the advent of artificial intelligence (AI)-enabled computing and multi-domain targeting systems.

However, this paradigm-changing advantage can be complicated or offset by new risks, as extended multi-domain networks need to be hardened against cyber threats across unprecedented distances and technical formats.

Instant, unanticipated cyberattacks can increasingly cripple military operations in a matter of seconds by jamming networks, intercepting and corrupting time-critical warfare data, intruding into and denying cyber network operations, derailing targeting sensors and weapons guidance systems, or simply disabling vital, interconnected operational networks.

This well-known scenario is a key reason why the Pentagon has, in recent years, massively revved up its cybersecurity emphasis through applying new technologies, seeking to “bake in” cyber resilience earlier in a system’s development and prototyping process, and integrating a new generation of network protections and security protocols.

Several Pentagon and industry data-hardening or “information assurance” innovations were put to the test in the Army’s Project Convergence “campaign of learning” in the desert at the US Army Proving Ground in Yuma, Arizona.

Multiple air, ground, manned, and unmanned nodes, sensors, and weapons were integrated with cutting-edge, AI-enabled systems to instantly process data and “pair” sensors to shooters. This process, which has become quite successful since the Project Convergence effort began in 2020, has massively expedited the decision cycle necessary to find and destroy a critical target faster than an enemy can operate.