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Artificial Intelligence in Cybersecurity: Advancements and Challenges in Data Protection

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Research demonstrates AI enhances threat detection and accuracy in identifying attacks in cybersecurity.

AI-based systems can enhance threat detection by 78.5% compared to traditional methods.
Machine learning algorithms show an impressive 93.7% accuracy in identifying zero-day attacks.
Natural language processing techniques significantly improve phishing detection with 94.3% accuracy rates.
Stakeholders must consider AI's role in protecting various cybersecurity data types to ensure effective monitoring.

Haider Abass (2025) studied this question.

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View Full Paper

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Authors

Research demonstrates AI enhances threat detection and accuracy in identifying attacks in cybersecurity.

AI-based systems can enhance threat detection by 78.5% compared to traditional methods.
Machine learning algorithms show an impressive 93.7% accuracy in identifying zero-day attacks.
Natural language processing techniques significantly improve phishing detection with 94.3% accuracy rates.
Stakeholders must consider AI's role in protecting various cybersecurity data types to ensure effective monitoring.

Haider Abass (2025) studied this question.

View Full Paper

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