Word count: 3000 words
Objectives to cover:
Introduction to the use of Artificial Intelligence in modern cybersecurity.
Understanding the evolving cyber threat landscape and its complexities.
Leveraging machine learning for predictive threat detection and analysis.
Using AI models to detect, classify, and prevent malware attacks.
Applying behavioral analytics for real-time anomaly detection.
Enhancing threat intelligence with Natural Language Processing (NLP).
Implementing automated incident response to reduce reaction time.
Exploring the integration of AI with SIEM and SOAR security platforms.
Conclusion: The future of cybersecurity through AI-driven automation and defense.
Reference: IEEE style