AI-Driven Cybersecurity: Enhancing Threat Detection and Response
Abstract
The integration of artificial intelligence (AI) in cybersecurity has significantly improved threat detection and response capabilities. This study examines the use of AI-driven techniques, such as machine learning, anomaly detection, and pattern recognition, to enhance cybersecurity measures. By analyzing network traffic, user behavior, and system logs, AI models can identify and mitigate potential threats in real-time. Our findings highlight the effectiveness of AI in detecting sophisticated cyber threats and reducing response times, thereby improving the overall security posture of organizations.
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References
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How to Cite
AI-Driven Cybersecurity: Enhancing Threat Detection and Response. (2024). Journal of Technology, 2(2), 17-20. https://doi.org/10.1481/jtech.v2i2.11
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Copyright (c) 2024 Journal of Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
AI-Driven Cybersecurity: Enhancing Threat Detection and Response. (2024). Journal of Technology, 2(2), 17-20. https://doi.org/10.1481/jtech.v2i2.11
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