Enhancing cybersecurity: The power of artificial intelligence in threat detection and prevention

Mohammed Rizvi
{"title":"Enhancing cybersecurity: The power of artificial intelligence in threat detection and prevention","authors":"Mohammed Rizvi","doi":"10.22161/ijaers.105.8","DOIUrl":null,"url":null,"abstract":"Due to its ability to evaluate security threats in real-time and take appropriate action, artificial intelligence has emerged as a key component of cyber security. AI now has a bigger impact on spotting and stopping attacks that keep businesses on the cutting edge. Threat detection and prevention are the main focus of AI's role in cybersecurity. Artificial intelligence can detect trends and anomalies in network traffic and user behavior that may indicate a potential cyberattack through the use of machine learning algorithms and advanced data analysis. This allows security personnel to respond to potential attacks quickly and proactively. Through predictive modeling, AI can be used to prevent attacks. AI also can recognize potential threats before they occur and take action to avoid them by assessing past attacks and detecting similarities. Creating automated incident response systems is another important function of artificial intelligence in cybersecurity. These systems can evaluate data, identify potential risks, and then work to contain or mitigate the attack, minimizing damage and disruption. Businesses must employ artificial intelligence in cybersecurity to protect their networks and sensitive data from ever changing online threats. Because of its ability to analyze vast volumes of data in real time and automate incident response, AI is swiftly becoming into a key tool for efficient cybersecurity in today's digital environment. In this paper, we will discuss the role of AI in cybersecurity including its uses in threat detection and prevention.","PeriodicalId":13758,"journal":{"name":"International Journal of Advanced Engineering Research and Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Engineering Research and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22161/ijaers.105.8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Due to its ability to evaluate security threats in real-time and take appropriate action, artificial intelligence has emerged as a key component of cyber security. AI now has a bigger impact on spotting and stopping attacks that keep businesses on the cutting edge. Threat detection and prevention are the main focus of AI's role in cybersecurity. Artificial intelligence can detect trends and anomalies in network traffic and user behavior that may indicate a potential cyberattack through the use of machine learning algorithms and advanced data analysis. This allows security personnel to respond to potential attacks quickly and proactively. Through predictive modeling, AI can be used to prevent attacks. AI also can recognize potential threats before they occur and take action to avoid them by assessing past attacks and detecting similarities. Creating automated incident response systems is another important function of artificial intelligence in cybersecurity. These systems can evaluate data, identify potential risks, and then work to contain or mitigate the attack, minimizing damage and disruption. Businesses must employ artificial intelligence in cybersecurity to protect their networks and sensitive data from ever changing online threats. Because of its ability to analyze vast volumes of data in real time and automate incident response, AI is swiftly becoming into a key tool for efficient cybersecurity in today's digital environment. In this paper, we will discuss the role of AI in cybersecurity including its uses in threat detection and prevention.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
加强网络安全:人工智能在威胁检测和预防方面的力量
由于能够实时评估安全威胁并采取适当行动,人工智能已成为网络安全的关键组成部分。现在,人工智能在发现和阻止攻击方面发挥了更大的作用,使企业保持领先地位。威胁检测和预防是人工智能在网络安全中的主要作用。人工智能可以通过使用机器学习算法和高级数据分析来检测网络流量和用户行为中的趋势和异常,这些趋势和异常可能表明潜在的网络攻击。这使得安全人员能够快速、主动地应对潜在的攻击。通过预测建模,人工智能可以用来预防攻击。人工智能还可以在潜在威胁发生之前识别它们,并通过评估过去的攻击和检测相似性来采取行动避免它们。创建自动事件响应系统是人工智能在网络安全中的另一个重要功能。这些系统可以评估数据,识别潜在风险,然后努力控制或减轻攻击,最大限度地减少损害和中断。企业必须在网络安全中使用人工智能,以保护其网络和敏感数据免受不断变化的在线威胁。由于能够实时分析大量数据并自动响应事件,人工智能正迅速成为当今数字环境中高效网络安全的关键工具。在本文中,我们将讨论人工智能在网络安全中的作用,包括其在威胁检测和预防中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Investigation of Dynamic Characteristics of an Automated Position Long-Stroke Pneumatic Actuator of Fabrication System Optimization of Geometric Characteristics of Cycloidal Profiles of Gerotor Hydraulic Machines Sensitivity of Diffusion-Weighted Image Combined with T2 Turbo Inversion Recovery Magnitude Sequence and as an Alternative to Contrast-Enhanced MRI in the Detection of Perianal Fistula GATCGGenerator: New Software for Generation of Quasirandom Nucleotide Sequences 3D Human Motion Capture Method Based on Computer Vision
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1