ARTIFICIAL INTELLIGENCE AND CYBER SECURITY.
The rise of cyber threats has made it necessary for organizations to adopt more advanced and effective security solutions. AI-powered cybersecurity tools can help organizations detect and respond to potential cyber threats faster, more efficiently, and more accurately. These tools use machine learni...
| Publicado en: | Journal Transnational Universal Studies (JTUS) Vol. 1; no. 2; pp. 93 - 100 |
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| Formato: | Artículo |
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Central Publishing
Apr2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=164207118&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 164207118 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 29847427 N7B0 jtl: Journal Transnational Universal Studies (JTUS) issn: 29847427 maglogo: N pubinfo: dt: Apr2023 vid: 1 iid: 2 pid: 74207 pub: Central Publishing artinfo: ui: 164207118 10.58631/jtus.v1i2.15 ppf: 93 ppct: 7 formats: tig: atl: ARTIFICIAL INTELLIGENCE AND CYBER SECURITY. aug: au: Pendey, Bimalendu affil: 39900 Blacow Road, Apt #58, Fremont, California su: Cyber intelligence (Computer security) Artificial intelligence Machine learning Internet security Cyberterrorism Cyberbullying sug: subj: Cyber intelligence (Computer security) Artificial intelligence Machine learning Internet security Cyberterrorism Cyberbullying keyword: AI Cyber Security learning Algorithms network traffic ab: The rise of cyber threats has made it necessary for organizations to adopt more advanced and effective security solutions. AI-powered cybersecurity tools can help organizations detect and respond to potential cyber threats faster, more efficiently, and more accurately. These tools use machine learning algorithms to analyze vast amounts of data, including network traffic, user behavior, and security-related events, and can identify patterns and anomalies that could indicate potential threats. However, the use of AI in cybersecurity comes with challenges, including the potential for bias and errors in AI-based systems and a shortage of skilled professionals who can develop, deploy, and maintain these systems. Organizations must weigh the benefits and challenges of using AI in cybersecurity and develop a comprehensive strategy that incorporates the right mix of people, processes, and technology to ensure optimal cybersecurity posture. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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