Ai-Based Solutions for Improving Cybersecurity and Its Significance in Defending Evolving Cyber Threats in Enterprises

Authors

  • Sakthiswaran Rangaraju Product Security Leader, Pure Storage, Santa Clara, California, USA Author
  • Rajesh Dharmalingam Security Architect, Delphix, Redwood City, California, USA Author

Keywords:

spam, malicious attack

Abstract

Artificial Intelligence and its sub-domain Machine learning contribute to the system development by learning from previous data, making logical judgements, spotting patterns with little to no human intervention. Cybersecurity approaches offer modern solutions to provide security against the attacks and threats. Consequent to the ability of attackers to evade conventional security solutions, the previous and traditional security measures are not strong enough to tackle the current time’s security issues. Protecting the data and software products from the attacks present on servers, computers, smart devices and networks is the practice of cybersecurity. There are two main factors to combine cybersecurity with Artificial intelligence (AI); one is considering cybersecurity for situations where AI is implemented and using AI to improve the cybersecurity measures. It has benefited from various aspects like these models that provide better security and improve the cybersecurity approaches and their effectiveness, thus making proficient identification of cyber threats with no human intervention. In this research article, these two techniques (AI and cybersecurity) have been integrated to provide AI based solutions for improving the cybersecurity of data and systems. 

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Published

11-02-2024

How to Cite

Sakthiswaran Rangaraju, and Rajesh Dharmalingam. “Ai-Based Solutions for Improving Cybersecurity and Its Significance in Defending Evolving Cyber Threats in Enterprises ”. Asian Journal of Multidisciplinary Research & Review, vol. 5, no. 1, Feb. 2024, pp. 1-19, https://ajmrr.org/journal/article/view/177.