A Survey of AI-Powered Proactive Threat-Hunting Techniques: Challenges and Future Directions

Temidayo Osinaike; Adekoya Yetunde; Chisom Victory Onyenagubo

doi:10.36948/ijfmr.2024.v06i06.29183

A Survey of AI-Powered Proactive Threat-Hunting Techniques: Challenges and Future Directions

Author(s)	Temidayo Osinaike, Adekoya Yetunde, Chisom Victory Onyenagubo
Country	United States
Abstract	The study narrates the dimensions of AI-powered threat hunting techniques that keep changing and draws on their importance in cybersecurity measures while dealing with advanced cyber threats. While the cyber adversary is continuously adapting and innovating, the integration of advanced AI algorithms, including reinforcement learning and hybrid models, has become one of the key strategies for real-time threat detection and response. The research investigates the transformative potential of these algorithms to facilitate adaptive systems that can quickly recognize and act on new attack vectors. It also discusses the integration of AI with emergent technologies like blockchain, quantum computing, and IoT in the dimension of their potential to leverage threat intelligence and response mechanisms. This would naturally lead to increased efficiency in threat hunting by leveraging the strengths brought into this endeavor by both the AI systems and human analysts. The study also advocates for the development of strong policy and governance frameworks to drive home some ethical concerns in deploying AI in cybersecurity. Such a framework is very important for addressing challenges on data privacy, accountability, and transparency. The findings bring into sharp relief that, in this continuing evolution of the cybersecurity landscape, what will work best is a proactive stance-a proactive stance that incorporates innovative technologies with human ingenuity and ethics. This white paper broadly documents the considerable promise of AI in threat hunting and strategic advances needed to harden organizational defenses against a dynamic threat environment.
Keywords	AI (Artificial Intelligence), Cybersecurity, Threat Hunting and Security
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 6, November-December 2024
Published On	2024-11-06
Cite This	A Survey of AI-Powered Proactive Threat-Hunting Techniques: Challenges and Future Directions - Temidayo Osinaike, Adekoya Yetunde, Chisom Victory Onyenagubo - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.29183
DOI	https://doi.org/10.36948/ijfmr.2024.v06i06.29183
Short DOI	https://doi.org/g8qfxp

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A Survey of AI-Powered Proactive Threat-Hunting Techniques: Challenges and Future Directions

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