Citation :

Ravi Kumar, Sonia Mishra, Pradeesh Ashokan, 2024. "AI-Driven Threat Intelligence Platforms: A Revolution in Cybersecurity Monitoring and Response", ESP International Journal of Advancements in Computational Technology (ESP-IJACT)  Volume 2, Issue 4: 154-163.

Abstract :

We acknowledge that the threat continues to change, and therefore, there is a need to use new technologies to support structures in cyber security. Cyber threat intelligence solutions supported by Artificial Intelligence (AI) are the innovative solutions implemented to identify, analyse and prevent cyber threats in advance. The current article offers a detailed review of threats with the help of AI-based solutions, focusing on the issue of monitoring and responding capabilities. Innovative elements of those platforms involve a breakdown of how machine learning algorithms, natural language processing, and predictive analytics can be incorporated into these tools. The discussed issues include data protection, algorithmic fairness or accountability, and practical implementation difficulties. This work supports the effectiveness of using AI by presenting case studies and experimental evaluations of response time, threat detection, and threat modeling. Prospective studies and implementation tactics for raising the usage of threat intelligence based on artificial intelligence algorithms are suggested in the last section of the article.

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Keywords :

AI-Driven, Threat Intelligence, Machine Learning, Predictive Analytics, Cybersecurity.