Use Case: AI Generated Attack Detection

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AI Generated Attack Detection

Stop AI-Generated Attacks in Real-time with MixMode

As artificial intelligence (AI) continues to advance, there is a growing concern about the emergence of AI-generated attacks. Threat actors are harnessing the power of artificial intelligence to develop sophisticated attack techniques that can evade traditional security measures, making them highly elusive and difficult to detect using conventional methods. These AI-generated attacks have the potential to cause substantial damage to organizations, compromising sensitive data, disrupting operations, and undermining trust.

Traditional security measures are often insufficient to combat the sophistication and scale of these targeted threats, as well as unable to analyze the vast amount of data generated by these diverse systems to detect threats effectively. The MixMode Platform helps Critical Infrastructure organizations detect and respond to threats in real-time, at scale, providing deep visibility to identify threats and proactively defend against sophisticated attacks. The MixMode Platform is the world’s first commercially available cybersecurity platform built on Third Wave AI (as defined by DARPA). The Platform can be seamlessly installed in minutes, immediately acclimating itself to autonomously learn, understand, adapt, and evolve without relying on rules, training, or human tuning.

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