Abstract: In this paper, it is, therefore, argued that in order to manage new threat risks and protect complex systems that are developed from day to day, there is the need to incorporate artificial intelligence and machine learning in the identification of threats and anomalies. Most of the time, conventional techniques are ineffective with addressing emerging and emerging threats. AI development stands as an impossible-to-avoid technology. Artificial Intelligence finds potential threats and detects differences faster than our current real-world security responses. By combining artificial intelligence and machine learning with automated detection and response tools systems are now more advanced than standard threat finding technologies. Machine learning algorithms are very useful in finding patterns and deviations from them, showing threats. Big data analytics through data science helps fight threats with Artificial Intelligence and Machine Learning additions to its tools for better detecting unusual activities.