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ISSN No: 2349-2287 (P) | E-ISSN: 2349-2279 (O) | E-mail: editor@ijiiet.com

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International Research Journal of Infinite Innovations in Engineering and Technology (IJIIET)

| ISSN Approved Journal | Impact factor: 7.521 | Follows UGC CARE Journal Norms and Guidelines |

| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | Impact factor 7.521 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing) in all Major Database & Metadata, Citation Generator

Title : Cybersecurity Risk Assessment Using Ai

Author : Dr P S Naveen Kumar, PALLA MANOJ KUMAR, RAVULA SAI SATYA TEJA, SANAGAPALLI SUVARNA LAKSHMI KOMALA

Abstract :

Cybersecurity is a critical concern for organizations in the digital age, as cyber threats continue to evolve in complexity and scale. Traditional risk assessment methods often struggle to predict emerging threats due to the sheer volume of data and the speed of attacks. Artificial Intelligence (AI) provides advanced techniques to automate, analyze, and predict cybersecurity risks efficiently. AI-powered risk assessment can identify vulnerabilities, evaluate threat severity, and recommend mitigation strategies in real time. This approach enhances organizational resilience by reducing manual efforts and improving detection accuracy. By integrating machine learning models and data-driven analysis, AI-based systems can prioritize risks according to potential impact. Overall, AI transforms cybersecurity risk assessment into a proactive and predictive process, strengthening protection against cyberattacks.

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