Exploration of AI for Predictive Analytics in Cyber Threat Intelligence Gathering

  • Bhargava Reddy Maddireddy1, Bharat Reddy Maddireddy 2 1Voya Financials, sr. network security Engineer, Email: bhargavr.cisco@gmail.com 2Voya Financials, sr.IT security Specialist, Email: Rbharath.mr@gmail.com
Keywords: Predictive analytics, Artificial intelligence, Cybersecurity, Threat intelligence, Machine learning, Proactive detection

Abstract

In the realm of cybersecurity, the proactive identification and mitigation of cyber threats are paramount to safeguarding digital assets and infrastructure. As cyber adversaries continue to employ sophisticated techniques and exploit vulnerabilities, there arises a pressing need for advanced predictive analytics tools to anticipate and counteract emerging threats. This paper explores the application of artificial intelligence (AI) for predictive analytics in cyber threat intelligence gathering, aiming to enhance the proactive detection and response capabilities of cybersecurity practitioners. The abstract will be completed after you confirm the initial direction and focus. Would you like to include specific aspects of AI, such as machine learning algorithms or natural language processing techniques, in the abstract? Let me know your preferences, and I'll tailor the abstract accordingly!

Published
2023-12-27
How to Cite
Bhargava Reddy Maddireddy1, Bharat Reddy Maddireddy 2. (2023). Exploration of AI for Predictive Analytics in Cyber Threat Intelligence Gathering . INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 7(4), 87-98. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/434