Published Article

                                                                                                   ABSTRACT

This study examined the potency of artificial intelligence in detection and control of insecurity, assessing its prospect and strategies. In an age marked by rapid technological advancement, artificial intelligence (AI) has emerged as a powerful tool capable of transforming security systems and bolstering efforts to combat insecurity. In the context of carrying out this research, the following subheads were explored among many others: concept of artificial intelligence, concept of insecurity and types of insecurity. The study highlighted on the types of insecurity in our society to include: food insecurity, economic insecurity and physical or personal insecurity among others. Furthermore, the study mentioned the strategies of insecurity detection using artificial intelligence to include: anomaly detection, intrusion detection and prevention systems (IDS/IPS) to mention but a few. Based on this, the study concluded that the potency of artificial intelligence in the detection and control of insecurity lies in its ability to process vast amounts of data swiftly, predict threats with precision, and support real-time decision-making through intelligent surveillance, pattern recognition, and automated response systems. One of the recommendations made was that the governments and security agencies should adopt AI-powered surveillance systems such as facial recognition, behaviour analytics, and drone-based monitoring to preempt criminal activities, while ensuring strong ethical frameworks and human rights protections.

KEYWORDS: Artificial Intelligence, Detection, Control and Insecurity