Access Attack: This attack can be classified as either an outsider or insider. When an insider or outsider attempts to access the organization employee data network unlawfully with intent to copy some file steal data from the system. It can be categorized into PASSWORD ATTACKS (Hackers try their maximum best to guess passwords) and TRUST EXPLOITATION (This type of attack usually happens at an organization where the staff believe and trust themselves) employee data Worm, Virus and Trojan horse Attacks: these types of attack are common in organizations where users are allowed to plug-in removable devices such as pen drives, external hard drives, compact disk and etc. To be able to prevent this attack, antivirus software must be installed on all the employee data computers and the managers of the institution should make sure the antivirus signature is updated and running.
Financial information and business data, regardless employee data of the number of years in archive, still make up the company's core business information. Modernizing legacy systems will not only help in keeping important business and financial information still relevant and up to date, but it can also help in providing a more agile option for a growing employee data business to meet the ever changing demands of its industry and market. Legacy systems or old business applications remain as risk factors in a business organization, given their inflexibility employee data to "communicate" with today's "interconnected" business technology environment.
The World Wide Web has opened information-sharing employee data tools that legacy systems may not be compatible with, thus lessening the ability of the newer technology to add value to the company. Upgrading (adding to, rather than modernizing) legacy systems may not be a viable option, as the programming language used to create the employee data system may no longer be supported by current standards and the programmer labor pool. Plus, the procedure may be time-consuming, and the whole process may just prove irrelevant because employee data in the end, the benefit may not be worth the cost.