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How AI is Reshaping the Cybersecurity Landscape
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence in Cybersecurity
Abstract
The rapid advancement of technology has led to more complex cybersecurity threats and fraud schemes, de- manding innovative solutions. This article explores how Artificial Intelligence (AI) can address these challenges. It highlights AI?s effectiveness in threat detection, predictive analytics, automated responses, and fraud detection by analyzing transaction data in real time to identify anomalies. AI?s integration into cybersecurity offers benefits like improved efficiency, accuracy, cost savings, and enhanced defense. However, it also faces challenges such as data quality, vulnerability to attacks, ethical concerns, and integration issues with older systems. Looking ahead, trends like explainable AI, stronger defenses against adversarial attacks, and more human-AI collaboration are important for ensuring responsible use of AI. The article emphasizes NGISE principles, including fairness, inclusivity, and ethical decision-making. In conclusion, while AI has great potential to transform cyber- security and fraud detection, its success relies on overcoming challenges, promoting ethical practices, and leveraging emerging technologies for a secure digital future.
Keywords
Artificial Intelligence (AI), Cybersecurity, Fraud Detection, Threat Detection, Predictive Analytics, Anomaly De- tection, Adversarial Attacks.
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How to cite this paper
@article{1707153,
author = {Prudhvi Naayini, Praveen Kumar Myakala, Chiranjeevi Bura},
title = {How AI is Reshaping the Cybersecurity Landscape},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {8},
number = {8},
pages = {278-289},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1707153.pdf},
abstract = {The rapid advancement of technology has led to more complex cybersecurity threats and fraud schemes, de- manding innovative solutions. This article explores how Artificial Intelligence (AI) can address these challenges. It highlights AI?s effectiveness in threat detection, predictive analytics, automated responses, and fraud detection by analyzing transaction data in real time to identify anomalies. AI?s integration into cybersecurity offers benefits like improved efficiency, accuracy, cost savings, and enhanced defense. However, it also faces challenges such as data quality, vulnerability to attacks, ethical concerns, and integration issues with older systems. Looking ahead, trends like explainable AI, stronger defenses against adversarial attacks, and more human-AI collaboration are important for ensuring responsible use of AI. The article emphasizes NGISE principles, including fairness, inclusivity, and ethical decision-making. In conclusion, while AI has great potential to transform cyber- security and fraud detection, its success relies on overcoming challenges, promoting ethical practices, and leveraging emerging technologies for a secure digital future.},
keywords = {Artificial Intelligence (AI), Cybersecurity, Fraud Detection, Threat Detection, Predictive Analytics, Anomaly De- tection, Adversarial Attacks.},
month = {February},
}