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What is cybersecurity?

7 cited papers · March 16, 2026 · Powered by Researchly AI

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Cybersecurity is the practice of protecting computer systems, networks, and digital information from unauthorized access, theft, or damage. As the world becomes…

Cybersecurity is the practice of protecting computer systems, networks, and digital information from unauthorized access, theft, or damage.1Bharadiya (2023)1As the world becomes increasingly digital, the importance of cybersecurity has become paramount, with the number of internet-connected devices expected to reach 20.4 billion by 2023.12
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AI-Driven Security: How Machine Learning Will Shape the Future of Cybersecurity and Web 3Jasmin Praful Bharadiya2023American Journal of Neural Networks and Applications
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AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat MitigationD. Kavitha, S Thejas2024IEEE Access
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  • Cybersecurity Risk Assessment — The process of identifying, analyzing, and evaluating cyber threats and vulnerabilities that may affect the confidentiality, integrity, and availability of information systems and data.
1Dawodu et al. (2023)1
  • AI-Driven Threat Detection — The use of machine learning and deep learning techniques to identify and counteract cybersecurity threats including network breaches, adversarial assaults, and zero-day vulnerabilities.
23Kavitha & Thejas (2024)2
  • Dynamic Risk Assessment (DRA) — Models proposed to continuously and dynamically assess risks to organisational operations in near real time, overcoming limitations of traditional static methodologies.
4
  • Cyber Risk Governance Frameworks — Standardized structures such as ISO/IEC 27001, NIST CSF, and COBIT 2019 that provide comprehensive, adaptive, and scalable foundations for managing cyber risk across industries.
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CYBERSECURITY RISK ASSESSMENT IN BANKING: METHODOLOGIES AND BEST PRACTICESSamuel Onimisi Dawodu, Adedolapo Omotosho et al.2023Computer Science & IT Research Journal
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2
AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat MitigationD. Kavitha, S Thejas2024IEEE Access
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3
Impact of AI on cybersecurity and security complianceAdebola Folorunso, Temitope Adewumi et al.2024Global Journal of Engineering and Technology Advances
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4
Dynamic Risk Assessment in Cybersecurity: A Systematic Literature ReviewPavlos Cheimonidis, Konstantinos Rantos2023Future Internet
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Diagram
+---------------------------+
| Digital Assets & Data |
+---------------------------+
 |
 v
+---------------------------+
| Threat Detection Layer |
| (AI / ML / Deep Learning)|
+---------------------------+
 |
 v
+---------------------------+
| Risk Assessment Engine |
| (Static / Dynamic Models)|
+---------------------------+
 |
 v
+---------------------------+
| Governance & Compliance |
| (ISO, NIST, COBIT) |
+---------------------------+
 |
 v
+---------------------------+
| Response & Mitigation |
+---------------------------+
Traditional security methods are no longer sufficient to protect against sophisticated and evolving threats, making AI a critical component of modern cybersecurity.1AI-driven systems excel at processing vast amounts of data, detecting anomalies, and identifying patterns that traditional security systems might miss, with machine learning and deep learning algorithms enhancing the ability to predict potential threats such as zero-day vulnerabilities, advanced persistent threats (APTs), and ransomware attacks.23Folorunso et al. (2024)3In the banking sector specifically, cyber risks range from sophisticated malware and phishing attacks to insider threats and system vulnerabilities, requiring robust and sector-specific risk assessment strategies.2
1
AI-Driven Security: How Machine Learning Will Shape the Future of Cybersecurity and Web 3Jasmin Praful Bharadiya2023American Journal of Neural Networks and Applications
View
2
AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat MitigationD. Kavitha, S Thejas2024IEEE Access
View
3
Impact of AI on cybersecurity and security complianceAdebola Folorunso, Temitope Adewumi et al.2024Global Journal of Engineering and Technology Advances
View
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In the context of AI-based cybersecurity, challenges persist particularly in managing large-scale data, enabling real-time processing, and ensuring privacy and security, while the lack of transparency in algorithms and the potential for vulnerability to hacking or manipulation remain concerns.12
1
AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat MitigationD. Kavitha, S Thejas2024IEEE Access
View
2
AI-Driven Security: How Machine Learning Will Shape the Future of Cybersecurity and Web 3Jasmin Praful Bharadiya2023American Journal of Neural Networks and Applications
View
  • Cybersecurity is the practice of protecting computer systems, networks, and digital information from unauthorized access, theft, or damage.
123
  • AI offers powerful tools for identifying, mitigating, and preventing cyberattacks in real-time, making it a transformative force in the field.
3
  • Global frameworks such as ISO/IEC 27001, NIST CSF, and COBIT 2019 provide comprehensive foundations for cyber risk governance.
4
  • Industry 4.0 technologies including Big Data, Cloud Computing, Machine Learning, IoT, AI, and Blockchain are being implemented in security procedures and cybersecurity risk management.
5Banking et al. (2021)5
1
AI-Driven Security: How Machine Learning Will Shape the Future of Cybersecurity and Web 3Jasmin Praful Bharadiya2023American Journal of Neural Networks and Applications
View
2
AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat MitigationD. Kavitha, S Thejas2024IEEE Access
View
3
Impact of AI on cybersecurity and security complianceAdebola Folorunso, Temitope Adewumi et al.2024Global Journal of Engineering and Technology Advances
View
4
Optimizing Cyber Risk Governance Using Global Frameworks: ISO, NIST, and COBIT AlignmentIboro Akpan Essien, Emmanuel Cadet et al.2022Journal of Frontiers in Multidisciplinary Research
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5
TECHNOLOGY QUALITY MANAGEMENT OF THE INDUSTRY 4.0 AND CYBERSECURITY RISK MANAGEMENT ON CURRENT BANKING ACTIVITIES IN EMERGING MARKETS - THE CASE IN VIETNAMNguyen Ngoc Thach Banking, Hoang Thanh Hanh et al.2021International Journal for Quality Research
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  1. "How does machine learning improve intrusion detection systems in cybersecurity?"
  2. "Comparison of NIST, ISO 27001, and COBIT frameworks for cybersecurity governance"
  3. "Dynamic risk assessment models for real-time cybersecurity threat management"

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