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Article Abstract

International Journal of Trends in Emerging Research and Development, 2024;2(4):120-126

AI-driven cybersecurity solutions for real-time threat detection

Author : Aman Shrivastava and Pooja Upadhyay

Abstract

To learn how AI-driven cybersecurity risks affect businesses, this project employed a case study research approach. So, here are the study questions: In order to better protect themselves against cybersecurity assaults powered by artificial intelligence, what steps should various sorts of companies take? In the second question, how and which AI tools will future hackers likely obtain? Question 3: How can businesses strengthen their defenses against phishing emails? To address these three research objectives, we relied on an analysis of three case studies. What we found is Question 1: While AI-powered assaults are a serious concern, networking companies and IT sectors may beef up their defenses with the help of AI solutions like Vectra Cognito and Amazon Web Services integration, which allow for real-time threat monitoring and response. Question 2: Hackers of the future will most certainly use generative AI technologies such as HackerGPT to launch complex assaults, such as creating botnets and sending convincing phishing emails. One shortcoming of these technologies is that they may misdiagnose vulnerabilities, which might lead to a streamlined onslaught. Thirdly, email security solutions powered by artificial intelligence (AI) such as Sentinel and Barracuda Essentials successfully counter phishing attacks by utilizing predictive analytics and multi-layered protection to thwart assaults. These solutions employ three layers of security to block and scan all incoming messages, thereby eliminating any potentially harmful threats.

Keywords

Cybersecurity, Threat Detection; cyberattacks, machine learning, AI