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<p>The exploitability of cyber threats and its potential to strengthen digital defense mechanisms are critical aspects of modern cybersecurity. By analyzing the latest AI-driven security models and emerging cyber threats, this study offers a comprehensive perspective on AI’s evolving role in digital defense. The integration of Artificial Intelligence (AI) is transforming cybersecurity, providing advanced capabilities such as automated threat detection, vulnerability prediction, and real-time incident response through machine learning and sophisticated algorithms. These innovations enhance proactive and adaptive defense mechanisms, improving resilience against increasingly complex cyberattacks. However, the same AI technologies also introduce new risks, as adversaries leverage them to develop advanced malware, automate attacks, and bypass traditional security measures. Furthermore, excessive reliance on AI can create vulnerabilities if systems are compromised or manipulated. As AI continues to evolve, balancing its advantages with robust security practices is essential. Effectively navigating this dynamic is crucial to harnessing AI’s full potential while mitigating risks in the ever-changing landscape of cyber threats.</p>

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Advanced AI-Driven Cybersecurity: Analyzing Emerging Threats and Defensive Strategies

  • 期刊论文

  • 发表日期：

    2025年12月19日

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  • Ali Khatibi,
  • Siddiq Babaker,
  • K. N. Raja Praveen,
  • Jasgurpreet Singh Chohan,
  • Abhilasha Jadhav,
  • Anas Ratib Alsoud,
  • M. Janaki Ramudu,
  • Rubal Jeet

摘要

The exploitability of cyber threats and its potential to strengthen digital defense mechanisms are critical aspects of modern cybersecurity. By analyzing the latest AI-driven security models and emerging cyber threats, this study offers a comprehensive perspective on AI’s evolving role in digital defense. The integration of Artificial Intelligence (AI) is transforming cybersecurity, providing advanced capabilities such as automated threat detection, vulnerability prediction, and real-time incident response through machine learning and sophisticated algorithms. These innovations enhance proactive and adaptive defense mechanisms, improving resilience against increasingly complex cyberattacks. However, the same AI technologies also introduce new risks, as adversaries leverage them to develop advanced malware, automate attacks, and bypass traditional security measures. Furthermore, excessive reliance on AI can create vulnerabilities if systems are compromised or manipulated. As AI continues to evolve, balancing its advantages with robust security practices is essential. Effectively navigating this dynamic is crucial to harnessing AI’s full potential while mitigating risks in the ever-changing landscape of cyber threats.