# Exploring the Impact of AI-Based Cyber Security Financial Sector Management
## 1 Introduction
Using reduced internet devices, all interactions are conducted via a highly secure and encrypted medium, ensuring complete security from the consumer's point of origin to the end of the destination [10]. Accountholders are often compensated with a fixed interest rate for lending their money to banks. The banks earn from the financial performance of commercial banks by making loans to customers at a fixed interest rate [11]. A group's revenue, flexibility, productivity improvement, and stability can all be gleaned by analyzing its financial measures. Contrasting one organization against another in the same industry or market, ratio analysis can show how a team changes through time [12]. When spotting malicious activity on the Internet, AI can be a helpful tool. Malware and ransomware assaults can be detected in their earliest stages by AI technologies programmed to recognize patterns and to recognize even minor behaviors [13]. With AI, businesses will free up staff while increasing security and ensuring they are headed in the proper technologically sophisticated, inventive direction [14]. Recently, more precise software invention forecasts, automated trades, database administration, poverty alleviation, and new ethical concerns have all been discussed in regard to how artificial intelligence can be applied in finance [15]. Artificial intelligence is more challenging and has a higher job population than cyber security, yet both are equally critical [16]. Cyber security increasingly depends on artificial intelligence (AI) [17]. AI may be utilized for cybersecurity solutions such as spam filtering, malware detection, fraud prevention, creditworthiness, and hacking incident predictions, to name a few [18]. Artificial intelligence (AI) is becoming highly relevant in cybersecurity to combat cyberattacks; the market is predicted to grow at a compound annual growth rate [19]. For effective management of cyber security risks in the financial sector, look no further than the Cyber Security in Financial Sector Management (CS-FSM) approach. This model offers financial organizations with a framework for creating and enforcing robust security plans, policies, and procedures against cyberattacks on their systems, data, and clients. The foundation of the CS-FSM model is the recognition that cyber security is an essential part of the management of financial institutions. Risk management, governance, security operations, incident response, and regulatory compliance are only some of the primary areas of emphasis in the CS-FSM paradigm. In order to formulate a strategy for managing risk, financial institutions must first determine what resources are most important to the institution and what threats those resources face. In order to govern effectively, it is necessary to define roles and duties, develop rules and procedures, and keep these documents under constant review and revision. Firewalls, encryption, and other forms of access control are only some of the technical measures that can be implemented as part of a security operation. The goal of incident response is to have a plan in place to deal with cyberattacks as soon and efficiently as possible. A significant amount of points that are involved in cybersecurity can benefit from artificial intelligence because AI is all about data clustering, classification, and analysis [20]. While artificial intelligence (AI) is a powerful concept, it cannot be set up and run independently [21]. For this definition, \"artificial intelligence\" means a computers' ability to act intelligently independently and independent of human input. Thus, AI security is about using AI to identify and stop cyber threats with little involvement than conventional security methods are usually assumed or required. The suggested CS-FSM framework has been adapted to the financial industry with the goal of enhancing data security, privacy, and risk mitigation. Financial institutions confront a unique set of cyber security concerns, and the researcher's strategy is designed to help them meet those challenges head-on.