LATEST INTELLIGENCE

CATEGORIZING THE USE OF AI IN CYBER SECURITY

The use of artificial intelligence ( AI ) in cyber-attacks is becoming increasingly common , with generative AI and large language model ( LLM ) tools opening doors to providing offensive methods to more novice threat actors .

As a result , the cyber security industry is increasingly implementing AI into defensive technology across prevention , detection , and response , and recovery , recognizing this as a necessity to effectively combat the evolving threat landscape .

However , not all AI is created equal : different types of AI have their own strengths and weaknesses when applied to different cyber security use cases . Most security solutions in this area rely on AI trained on known attack data , which is limited , as it is designed to recognize only the same or similar types of attacks it has seen before . In a future where novel cyber-attacks at speed and scale are the new normal , this supervised learning approach needs to be accompanied with AI that can recognize unknown threats .

This white paper categorizes the different applications of AI in cyber security and explains how Darktrace ’ s approach to cyber AI uniquely understands the business in order to protect it from all types of attacks , including sophisticated and targeted ones created by generative AI . p

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