# Exploring the Impact of AI-Based Cyber Security Financial Sector Management
## 3 Cyber Security in Financial Sector Management (CS-FSM)
### Cyber Security in Financial Sector Management (CS-FSM)  
The proposed model, Cyber Security in Financial Sector Management (CS-FSM), with the help of artificial intelligence, analyzes all the intrusions and allows individuals to determine when it is safe. Otherwise, it stops the entry and reports to the control room or accessing persons. Figure 3 illustrates the overall systematics of the proposed system. Figure 2: AI in cybersecurity. All the customers' financial information, banking sector, and other data are stored in the database secured by cyber security. The firewall blocks untrusted entry when one person, client, or threat enters to access those data. Genuine entries are allowed to store the data. These data are encrypted using a private key or a public key. Once encrypted, they will be held in the database, assuring that the data will be safer when cyberattacks happen. Artificial intelligence makes the best prediction model with trusted and untrusted data using the KNN algorithm. This algorithm designs a model based on the information given by authorized persons. After creating a successful prediction model, information access is thoroughly checked. Suppose an unknown entry or a virus tries to use the information stored in the database, in this case, the prediction model will analyze them, stop their entry, and notify the authorized person. The financial data are safer using this proposed model. People and organizations can obtain various payment options and products from the financial services industry. Depositors, investment groups, lenders, credit institutions, real estate agents, and health insurers make up this economy sector. Financial and commercial banks cannot share confidential information or execute transactions without a firewall. The Crystal Act of 1933 prohibited banks and brokerage businesses from working together and served as a firewall. In addition, computers can check each packet for malware using comprehensive security techniques. In addition to serving as load balancers, proxies can act as filters, preventing viruses from infecting the web servers they sit next to. Predictive analytics for private motives, such as production process, marketing and revenue positioning, efficiency and better security, and fraudulent monitoring, are a perfect fit for banks. Resources, debts, ownership, revenue, expenditures, and working capital are all important types of financial data. Obligations are the debts owed by the firm. At the same time, equity is the money that the stakeholders keep after subtracting the value of the business's liabilities from the value of its assets. All private details are encrypted to prevent cyber criminals from readily obtaining them. The use of encryption libraries and critical recovery services is required for application encryption. At the application level, encryption implies encrypting data before it can be stored and decrypting it when something is retrieved from a database or completely based. Artificial intelligence can be used to assess consumer and micro-enterprise loan candidates' default risk. The platform uses investment information and algorithms to identify patterns and determine which applications are excellent or poor. Predictive analytics can help uncover fraudulent activity by studying the most efficient operating ways for transactions, sales, and transactions. Patterns can be discovered by analyzing organized and unstructured data (emails, reviews, and forum posts). The Enhanced Encryption Standard  
Figure 3: The architecture of the proposed CS-FSM model. and K-Nearest Neighbor are the algorithms used for the prediction process. Financial institutions should re-evaluate their present back-office and front-end tools and procedures in secure information as it travels around the organization. They should implement extra verification layers and security systems with multilevel checks to ensure safe transactions across several channels. Banking security is a serious issue in the present day and age. A cybersecurity threat is one of the issues to be aware of.