Counter drone technology company Citadel Defense has released new software incorporating ‘deepfake neural networks’ to protect against adversarial attacks on protected airspace. The technology is designed to help US and allied forces combat growing enemy tactics that attempt to confuse existing security intelligence equipment as electronic warfare escalates. The company has incorporated ‘Generative Adversarial Networks’ into its Titan C-UAS solution.
Using proprietary image generation algorithms, Citadel has developed discrimination classification models that help determine whether the signal detected is a real drone or a generated signal by the adversary trying to trick existing signal intelligence equipment.
Christopher Williams, CEO of Citadel Defense explains, “Just like anti-virus programs have methods to detect software exploits, Titan has automated methods that proactively defend against spoofing exploits. Adding new deep learning capabilities to Titan helps blind the drone-equipped enemy and deny them any advantage or safe haven in contested and complex radiofrequency environments.”
In the last three months, Citadel has trained over 500 military and law enforcement operators on emerging adversarial threat tactics and Titan technology. Over 100 Titan systems are being updated with the company’s latest software release.
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