The development of new cyber security and networking solutions using Artificial Intelligence and machine learning

Abstract

The convergence of Artificial Intelligence (AI) and Machine Learning (ML) has ushered in a revolutionary period in networking as well as cybersecurity. This paper explores the important impact of ML and AI on certain fields. Data shows that their use has increased dramatically, particularly in threat detection and predictive modelling. Security measures have been significantly strengthened by automated incident response systems and behavioural analysis powered by AI. The integration of threat intelligence and artificial intelligence has transformed the battle against cyberattacks, whereas real-time data analysis facilitates proactive maintenance. As long as privacy, and surveillance, alongside prejudice concerns, exist, the moral implementation of AI will remain a major worry. This analysis emphasizes the critical importance of ethical AI development. Future scope will include increased integration and more accurate threat detection, but there will also be issues with data quality, and privacy, including the requirement for strong ethical standards. It is of the utmost importance to strike a balance between these difficulties and the amazing promise of AI and ML in order to shape networking and cybersecurity in the future.