• Madival Shrama Anand
• Sowmya
• Pragathi S Hegde
• Archana T Naik
• Rakesh Adiga

Cyber security is very important in today’s digital world. Technologies like Artificial Intelligence (AI) and Machine Learning (ML) are helping improve how we find and stop threats. These tools can detect unusual behavior, study patterns, and even predict future attacks. Using Natural Language Processing (NLP), we can understand and gather useful threat information from text. Deep learning and neural networks help us find complex attack patterns, while automation speeds up how we detect and respond to threats. There are still challenges, such as privacy issues and ethical concerns. But real-life examples prove that AI and ML are powerful and effective. In the future, we may see even more advanced tools, including those that use quantum computing. To protect important digital systems, it's important to use the power of AI and ML to stay ahead of cybercriminals.

Analysis, Cyber security, Artificial intelligence, Machine Learning, threat detection, anomaly detection, Neural network.

"TRANSFORMING CYBERSECURITY: USING AI AND MACHINE LEARNING TO DETECT MODERN THREATS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.142-155, July-2025, Available :http://www.jetir.org/papers/JETIRGX06027.pdf

"TRANSFORMING CYBERSECURITY: USING AI AND MACHINE LEARNING TO DETECT MODERN THREATS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp142-155, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06027.pdf