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This research examines how artificial intelligence addresses vulnerabilities in cybersecurity.

June 6, 2026Open Access

Artificial Intelligence in Cybersecurity Threat detection, risk analysis & data protection

Key Points

This research examines how artificial intelligence addresses vulnerabilities in cybersecurity.
Analyzes limitations of traditional security systems
Proposes an original AI-based threat-detection framework
Includes case studies of AI implementation in cybersecurity infrastructures
AI improves threat detection accuracy and speed compared to traditional methods
Identifies anomalies in real-time, enhancing response efficiencies
Addresses specific weaknesses in existing cybersecurity frameworks

Abstract

The rise of advanced cyber threats, including zero-day attacks, ransomware chains, and AI-generated phishing, has revealed the limitations of traditional security systems. These systems rely heavily on predefined rules and signatures, making them ineffective against fast-evolving attack vectors. Artificial Intelligence (AI) introduces adaptive and predictive threat detection by learning behavioral patterns and identifying anomalies in real time. This research paper adopts a problem–solution approach to examine how AI addresses specific cybersecurity weaknesses. It presents limitations of existing systems, analyzes AI-based solutions, proposes an original threat-detection framework, and includes case studies of AI adoption in modern cybersecurity infrastructures. Challenges, evaluation parameters, and future improvements are also discussed.

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