Leveraging Artificial Intelligence for Predictive Cyber Threat Intelligence
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Abstract
As cyber threats become increasingly complex and dynamic, traditional reactive security measures are proving inadequate. This paper proposes a predictive cyber threat intelligence (CTI) framework powered by artificial intelligence (AI). By leveraging machine learning algorithms and natural language processing (NLP), our framework analyzes vast amounts of data from open-source intelligence (OSINT) and dark web sources to predict potential threats. We present a detailed evaluation of our system, highlighting its accuracy in threat prediction and its ability to provide actionable insights. Our research underscores the importance of AI in developing proactive security measures and its potential to transform CTI practices.
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