Usage Of AI In National Defence Systems
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Usage Of AI In National Defence Systems

By CIOReview | Thursday, May 12, 2022

An extensive look at the practices employed by the US defense using AI to combat cyber threats

FREEMONT, CA: Cyber attacks on computer systems and infrastructure continue to increase in complexity, speed, frequency, and scale. In 2021 alone, Microsoft 365 Defender suite, assisted by AI techniques, combated more than 9.6 billion malware threats, 35.7 billion phishing attacks and malicious emails, and 25.6 billion attempts to hijack customer accounts targeting both businesses and consumer devices. The US Department of Defence has identified four ways to combat cyber attacks and breaches using artificial intelligence.

Advancing Cybersecurity with AI

Among its many merits, AI-based technologies can provide instant automated interpretation of signals generated during attacks, effective threat incident prioritization, and adaptational responses to address the nature and intensity of adversarial actions. The methods used show immense potential for swiftly analyzing and correlating patterns across billions of data points to track down a wide variety of cyber threats in the order of seconds. Additionally, AI can continually learn and adapt to new attack patterns by drawing data histories from past analyses to detect and combat similar attacks set to come in the future.

Using AI to Counter Cyberattacks

While there is little information on the active use of AI in cyberattacks, it is widely accepted that AI technologies can be used to trace cyberattacks of various probing and automation to use a fight fire with fire approach. This development area is referred to as offensive AI and is a core practice of national cyber armies.

Pursuit of Resistant Systems

Methods to successfully utilize resistance systems consist of special training procedures to incorporate adversarial examples, validation of inputs to recognize specific properties that can reveal signs of an attack, making changes to the current methods of building models, and modifying the objective functions used in optimization procedures used to create the models so that more robust models are built. AI in Malign Information Operations

Developments in machine learning and graphics have boosted the abilities of state and non-state actors to fabricate and distribute high-fidelity audiovisual content, referred to as synthetic media and deep fakes, that are counterfeited versions of the original content. AI technologies to combat this issue are being developed.