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Research Paper | Computer Science & Engineering | United States of America | Volume 12 Issue 11, November 2023
AI-Infused Threat Detection and Incident Response in Cloud Security
Abstract: With the evolving sophisticated attack techniques and cyber-attacks, businesses must adapt their threat detection and response mechanisms. It is paramount to explorecontemporary tools, from real-time monitoring and network forensics to XDR,SIEM, SOAR, and NDR, giving insights into the ever-changing detection and response systems space. The migration of business data and applications to the cloud has dramatically improved security and threat detection. Conventional security approaches must be revised to guard against advanced threats within the fragile network infrastructures of cloud environments. By understanding this challenge, artificial intelligence (AI) comes in to help enhance the accuracy and speed of threat response and identification. This paper depicts the impact of AI on cloud security and threat detection. As cyber threats increasingly target service providers and cloud infrastructures, the demand for robust, easily deployable security measures remains essential. To address this issue, this paper will address the collaboration between cloud security and AI operations, stressing the resultant acceleration in incident response times ? further depicting how this relationship strengthens an organization's defenses and curbs the impact of security incidents. For organizations looking to keep up with the dynamic threat landscape, leveraging and understanding the relationship between cloud security and AI is essential in maintaining an adaptive and resilient security posture.
Keywords: AI-driven threat detection, real-time monitoring, data protection, incident response, cloud security solutions, cloud infrastructure, threat detection
Edition: Volume 12 Issue 11, November 2023,
Pages: 998 - 1004