The introduction of artificial intelligence (AI) in predictive policing has been a game-changer for law enforcement, ushering in data-driven methods for crime prevention and resource allocation. Machine learning algorithms, advanced data analytics, and predictive models used in AI-powered systems identify crime patterns, assess high-risk areas, and estimate risk for any precautionary measure. Such systems push a large amount of previous crime data, enabling the police force to better predict terrorist activities, effectively manage patrols, and decrease response time. Such technological advancement also paved the way for a shift from reactive policing to proactive terrorist prevention methods. Facial recognition, anomaly detection, natural language processing, and automated surveillance systems have all contributed to investigative capabilities evolving, thanks to AI-driven technologies. These advanced tools help in tracking criminal syndicates, detecting any suspicious activities, and analyzing social behavior trends effectively, empowering authorities to act upon any emergent threats instantly. This chapter identifies the utility of AI in predictive policing and how it benefits, challenges, and impacts law enforcement as a whole. Additionally, it delves into the ethical implications, the need for a regulatory framework, and the technological advancements required to make AI an instrument of justice, not a vehicle for injustice. Although an AI ecosystem in policing can contribute to preventing crime more effectively, a well-regulated AI ecosystem in policing can also ensure that law enforcement practices are just, ethical, and transparent.