Army Official Warns AI is Lowering Barriers for Cyberattacks on Unified Network

BALTIMORE — As the U.S. Army continues to modernize its digital infrastructure, the rise of artificial intelligence is creating new vulnerabilities that could be exploited to compromise the service’s networks, according to a senior IT official.

“The threat landscape has shifted. These new AI capabilities are lowering the barrier to entry and exposing more of our attack surface,” said David Markowitz, the Army’s deputy chief information officer and chief data and analytics officer, during today’s TechNet Cyber conference. “We must gain a deeper understanding of our unified network, rapidly identify potential entry points for attacks, and be capable of neutralizing threats faster than any adversary.”

Launched in 2021, the Army’s “unified network” initiative aims to consolidate the service’s IT architecture into a single, cohesive system. Previously, the Army operated siloed networks, separating enterprise-level functions used at static installations from the tactical and expeditionary systems used for battlefield communications.

Markowitz noted that while consolidating all data under one architecture improves efficiency, it requires a more sophisticated understanding of the network’s intricacies—particularly as AI tools make it easier for bad actors to discover and exploit security gaps.

“We need the ability to detect a threat almost instantly and act—whether that means patching a vulnerability or pivoting our strategy immediately,” Markowitz stated. “We haven’t faced this specific type of challenge before, but it is now upon us, and we must adapt rapidly to outpace our opponents.”

He added that the most significant obstacle to these improvements is likely cultural, noting the need for enhanced personnel training and a shift in bureaucracy from a compliance-based, “checklist” mentality to a more agile, operational mindset.

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