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Abstract
In an era marked by the rapid evolution of cyber threats, the integration of intelligent systems into cybersecurity frameworks has emerged as a vital strategy for enhancing threat detection and response capabilities. This paper explores the architecture, key components, and applications of intelligent systems in addressing cybersecurity challenges. By leveraging advanced technologies such as machine learning, artificial intelligence, and predictive analytics, organizations can proactively identify and mitigate potential threats before they escalate. Case studies illustrate successful implementations across various sectors, demonstrating the effectiveness of these systems in real-time monitoring and automated responses. However, the paper also discusses the challenges and limitations faced in deploying intelligent systems, including technical integration issues, ethical concerns, and the need for skilled personnel. The findings underscore the importance of a holistic approach that balances technology with human expertise, paving the way for more resilient cybersecurity strategies in an increasingly complex threat landscape.
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