Security is a challenging issue for every financial organization. Financial security threats for companies have gained prominence in the last few decades. With more and more companies and governments jumping into Financial Services, seamless connectivity across branches is crucial for efficient functioning of a network. Today Intruders break through every strong Network Firewall and viruses and worms proliferate within a matter of seconds. Not only do networks and security systems need to react instantaneously, finance companies also need to develop more complex and stable solutions.

The present state of Financial Intrusion Detection Systems in United States of America and their drawbacks need to be studied for this. It highlights the need of developing a Financial Intrusion Forecasting System, which is the future of intrusion detection systems. Financial Intrusion Forecasting Systems do more than an IDS, the word ‘Forecasting’ suggests that the system is more reactive compared to IDS. Financial Intrusion forecasting system detects abnormal activities; for example, there is a suspicious activity, the IFS can inject a trigger packet to drop the signal to prevent further damages to the target.

Also, exploring the possibility of bringing intelligence to the Intrusion Forecasting System by using mobile security agents that move across the network of borrowers and lenders and use forecasting techniques to predict the behavior of user. There are discussions proposed for such a financial intrusion forecasting system and the techniques to be used in implementing the system.

It is, as of today impossible to completely protect a financial institution network from attacks. Not every manager always installs every security patch on every computer.

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