Generative AI and large language model (LLM) tools are enabling novice threat actors to leverage AI in cyberattacks.
Thus, to address the changing threat landscape, the cyber security industry is incorporating AI into defensive technologies for prevention, detection, reaction, and recovery.
However, each AI have varied strengths and drawbacks in cyber security use cases. Most security solutions in this field use AI based on known attack data, which is limited to recognizing just comparable assaults. As cyberattacks become more frequent and complex, supervised learning must be combined with AI that can identify new risks.
This white paper from DarkTrace classifies AI applications in cyber security and describes how Darktrace’s cyber AI uniquely understands the business to protect it from all forms of assaults, including generative AI-created sophisticated and targeted ones.
Click here to download the Guide.
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