Data is the most valuable resource of an enterprise (organization). At present, there is 3 ways of data leakage, namely, external theft, initiative leakage of internal staff, and accidental leakage of internal staff. Usually data leakage presents the following situations.

In the Ponemon Institute's latest research report "2008 Study on the Uncertainty of Data Breach Detection", 79% of the respondents said they had experienced at least one data leak, 68% of enterprises (institutions) had experienced at least six accidents of sensitive data leakage every year, and 20% of enterprises (institutions) had experienced more than 22 data leakage accidents every year.

In fear of external attacks, enterprises(institutions) usually spent huge amounts of money in deploying traditional security products, including firewalls, IDS / IPS, anti-virus products, which protect computers against external attacks, and ignore sensitive data exchanges between internal network and external network or between internal networks. This one-sided protection way can not protect data against victorisou hackers, also can not play any role in the leakage of internal staff. Among the data leakage accidents, 75% came from insiders, which became a weak point of security protection.

A large number of important data will be generated during work, such as electronic documents containing sensitive information. It is not exactly news that people can steal data if they have access to it. Staff moral or total negligence often poses a threat to enterprise (institution) data security. In addition, many users may not know or care what data is important. These data is distributed among servers, databases, information management systems and client PCs randomly. Confidential data may be exposed and become a huge potential threat.

There is a need for a kind of high-tech tool to provide the most simple, effective, comprehensive program to prevent the huge risks of various forms of data leakage.