Aim: Cyberattacks continue to evolve and AI has the potential to detect these threats and respond in real time. The focus of this research paper will be to understand how AI is being applied to this end, addressing how AI assists in threat detection and incident response. The work focuses on the efficiency of different add-in AI techniques which are applied for identifying anomalies, automating incidents response and providing intelligent decision support. Method: The research procedure incorporates an all-encompassing survey called literacy review and it is aimed at gathering existing information from both academic databases and industry reports. Quantitative and qualitative select human intelligence attributes are discussed by analysing case studies and real-world examples of AI powered cybersecurity systems. This approach applies numeric data processing and open-ended exploration in order to highlight the positive impact, negative aspects, and the most common emerging trends. Results: The paper suggests that the AI-based, cybersecurity systems can highly facilitate threat detection accuracy, diminish response time and help in identifying the emerging phenomenon to some e
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