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Future Trends in AI Driven Cyber Security
Subject area: Science,Engineering and Technology · Area of research: Computer Science
Abstract
It is observable that there has been a rapid development in the area of cyber security and enhancing factors such as the incorporation of AI have come into play. In this context, this abstract aims at discussing the possible future trends in AI for cyber security, as well as the opportunities and risks that arise from such integration. Machine learning and deep learning are the showcases of AI that are bringing real-time threat analysis and signs of potential cyber threats in large data volumes. Further developments are expected to improve the level of accuracy and the time it takes for threats to be identified, thus reducing the threats? time of opportunity. AI in cyber security is also expected to progress in predictive threat hunting and the automation of the process which analyzes possible threats before they can become threats. This predictive ability will be useful in dealing with advanced forms of cyber threats. Furthermore, AI will be able to personalize security, countermeasures to the user?s activity and configurations of the system, which will strengthen the security overall. However, there is a looming problem with AI in cyber security because foe instance there is likelihood that the foes will launch attacks through the use of AI. To overcome these issues, continuous exploration and development of efficient AI models and huge security system frameworks will be needed. In addition, moral questions of privacy and autonomy of the systems must be thoroughly debated and analyzed. It is observable that there has been a rapid development in the area of cyber security and enhancing factors such as the incorporation of AI have come into play. In this context, this abstract aims at discussing the possible future trends in AI for cyber security, as well as the opportunities and risks that arise from such integration. Machine learning and deep learning are the showcases of AI that are bringing real-time threat analysis and signs of potential cyber threats in large data volumes. Further developments are expected to improve the level of accuracy and the time it takes for threats to be identified, thus reducing the threats? time of opportunity. AI in cyber security is also expected to progress in predictive threat hunting and the automation of the process which analyzes possible threats before they can become threats. This predictive ability will be useful in dealing with advanced forms of cyber threats. Furthermore, AI will be able to personalize security, countermeasures to the user?s activity and configurations of the system, which will strengthen the security overall. However, there is a looming problem with AI in cyber security because foe instance there is a likelihood that the foes will launch attacks through the use of AI. To overcome these issues, continuous exploration and development of efficient AI models and huge security system frameworks will be needed. In addition, moral questions of privacy and autonomy of the systems must be thoroughly debated and analyzed.
Keywords
Artificial Intelligence, Cyber security, Machine Learning, Deep Learning, Threat Detection, Real-time Analysis, Predictive Analytics, Proactive Threat Hunting, Vulnerability Assessment, Adversarial Attacks
References
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How to cite this paper
@article{1706215,
author = {Sundeep Reddy Mamidi},
title = {Future Trends in AI Driven Cyber Security},
journal = {Iconic Research And Engineering Journals},
year = {2024},
volume = {8},
number = {2},
pages = {765-780},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1706215.pdf},
abstract = {It is observable that there has been a rapid development in the area of cyber security and enhancing factors such as the incorporation of AI have come into play. In this context, this abstract aims at discussing the possible future trends in AI for cyber security, as well as the opportunities and risks that arise from such integration. Machine learning and deep learning are the showcases of AI that are bringing real-time threat analysis and signs of potential cyber threats in large data volumes. Further developments are expected to improve the level of accuracy and the time it takes for threats to be identified, thus reducing the threats? time of opportunity. AI in cyber security is also expected to progress in predictive threat hunting and the automation of the process which analyzes possible threats before they can become threats. This predictive ability will be useful in dealing with advanced forms of cyber threats. Furthermore, AI will be able to personalize security, countermeasures to the user?s activity and configurations of the system, which will strengthen the security overall. However, there is a looming problem with AI in cyber security because foe instance there is likelihood that the foes will launch attacks through the use of AI. To overcome these issues, continuous exploration and development of efficient AI models and huge security system frameworks will be needed. In addition, moral questions of privacy and autonomy of the systems must be thoroughly debated and analyzed. It is observable that there has been a rapid development in the area of cyber security and enhancing factors such as the incorporation of AI have come into play. In this context, this abstract aims at discussing the possible future trends in AI for cyber security, as well as the opportunities and risks that arise from such integration. Machine learning and deep learning are the showcases of AI that are bringing real-time threat analysis and signs of potential cyber threats in large data volumes. Further developments are expected to improve the level of accuracy and the time it takes for threats to be identified, thus reducing the threats? time of opportunity. AI in cyber security is also expected to progress in predictive threat hunting and the automation of the process which analyzes possible threats before they can become threats. This predictive ability will be useful in dealing with advanced forms of cyber threats. Furthermore, AI will be able to personalize security, countermeasures to the user?s activity and configurations of the system, which will strengthen the security overall. However, there is a looming problem with AI in cyber security because foe instance there is a likelihood that the foes will launch attacks through the use of AI. To overcome these issues, continuous exploration and development of efficient AI models and huge security system frameworks will be needed. In addition, moral questions of privacy and autonomy of the systems must be thoroughly debated and analyzed.},
keywords = {Artificial Intelligence, Cyber security, Machine Learning, Deep Learning, Threat Detection, Real-time Analysis, Predictive Analytics, Proactive Threat Hunting, Vulnerability Assessment, Adversarial Attacks},
month = {August},
}