Leveraging Machine Learning and AI to Combat Modern Cyber Threats

The modern world of technology focuses on the use of Artificial Intelligence (AI). Artificial Intelligence (AI) is revolutionary and can be considered the powerhouse for the recent advancements seen in the world of technology. The recent rise of sophisticated technological threats is also advancing since Artificial Intelligence (AI) resources can be manipulated for exploited and unethical use which concerns security in terms of both, cyberspace, and physical environments. The key factor here is to discuss the optimisation for the use of Artificial Intelligence (AI) in Cybersecurity. Artificial intelligence (AI) provides a disruptive approach by increasing the efficiency, accuracy, and adaptability of security systems. This abstract examines the integration of AI-based security protocols to combat growing threats. AI systems, such as machine learning and deep learning, can examine large volumes of data in real-time, detecting patterns and abnormalities that humans may overlook. By automating threat detection, AI can respond to situations more quickly and precisely, lowering the likelihood of breaches and cutting response time. Furthermore, AI-driven systems can self-learn, enhancing their threat detection skills as new data and attack vectors emerge. This versatility makes AI a great tool for tackling both known and undiscovered dangers, including cyber-attacks such as phishing, malware, and ransomware. This report focuses on the use of Artificial Intelligence in Cybersecurity. It acknowledges the capability and countermeasures for more advanced Cybersecurity threats and how it differs from the traditional method. Not only does it applaud the use of Artificial Intelligence (AI) in Cybersecurity, but it also provides necessary drawbacks and constructive criticism about the literacy of its uses.