Maximizing Cyber Security Through Threat Hunting for Advanced Threat Detection and Mitigation

Mohammed Mustafa Khan

Maximizing Cyber Security Through Threat Hunting for Advanced Threat Detection and Mitigation

Author(s)	Mohammed Mustafa Khan
Country	USA
Abstract	Threat hunting is the future of proactive cyber defense. It has emerged as the fundamental solution to counter sophisticated attacks. Threat hunting is not a relatively new technology. It existed in the past when security analysts utilized manual processes to examine various data to create hypotheses pertaining to possible threats using vulnerability know-how and experience to hunt threats. The advancement of threats has forced the security operational center teams to automate their hunting tools and models and to adopt the best practices to detect and mitigate advanced threats. Machine learning and artificial intelligence technologies are infused to make threat hunting more efficient and effective. To have a common ground for understanding threat hunting, a basic definition is needed. Threat hunting is the prescient effort of identifying signals of malicious activity in the IT infrastructure that have evaded underlying security controls. Threat hunting relies on the formulation of an objective-driven hypothesis and is an iterative process. Organizations strive to protect their assets and reduce possible damages. This research paper discusses threat hunting as one of the promising technologies that can help organizations proactively secure their IT infrastructure.
Keywords	Threat hunting, threat detection, IT infrastructure
Published In	Volume 4, Issue 3, May-June 2022
Published On	2022-06-20
Cite This	Maximizing Cyber Security Through Threat Hunting for Advanced Threat Detection and Mitigation - Mohammed Mustafa Khan - IJFMR Volume 4, Issue 3, May-June 2022.

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Maximizing Cyber Security Through Threat Hunting for Advanced Threat Detection and Mitigation

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