Trend Technology Cloud security intelligent Protection strategy

The commercial route of large data has already opened, the data as an important component of enterprise's assets, its core is constantly highlighted. Due to the large data age data with large data, high flow rate, a wide range, unstructured and so on a series of characteristics, the threat will be diverse, complex, unprecedented. In this regard, trend science and technology that in the large data era of confrontation, enterprises need to establish a data protection as the core of the cloud Security intelligent Protection strategy, more comprehensive and rapid resolution of the infrastructure layer of Hadoop and other threats.

"Unstructured data" has been forgotten. Data protection strategies also need to be synchronized

In the large data age, the massive and diverse data not only brings the data support for the enterprise's demand forecast and the strategic decision, but also challenges the effective storage and security sharing of the information. While mining large data intrinsic commercial value, let the security protection strategy synchronization, can avoid disastrous consequences, at the same time will become enterprises to enhance competitiveness, seize the key to market opportunities.

Trend Technology China Business development director Pupils said: "A key change in the big data is a re-examination of unstructured data, which in the past has not been used effectively and has little commercial value and is generally excluded from enterprise data protection strategies." However, in the large data age, unstructured data will become an important source for enterprises to explore data business value, provide demand forecasting and decision support capability. Therefore, the enterprise's data protection strategy must be changed with the new threat to achieve a comprehensive coverage and focus on the deployment of synergies to better protect the enterprise's data assets. ”

Driven by the need to respond to data threats, trend technology has launched a cloud security intelligence protection strategy with leading technological advantages and a perception of global data threats. The strategy emphasizes the rapid and accurate collection and identification of new threats, the ability to provide immediate protection of data ensures that the data is used intelligently, simply and flexibly in its lifecycle to help the enterprise to drive its business forward, and to carry out business innovation demands such as mobile interconnection and large data applications.

Deep security "Five layers" safety protection Hadoop large Data application full audit

Now, in some financial, Internet and other large data application depth of the enterprise, apt attack behind more is under the control of commercial crime groups. At the same time, black hole attacks have been promoted to the age of 2.0, and both businesses and individuals, each owner of data, will face unprecedented danger in the big data age. However, as a large data application tool for Hadoop, in the data security design and protection function is not able to fully meet the needs of users, it has a weak access control, no compliance design, no data encryption, weak policy management, and so on a series of issues, and its inclusion of multiple Web UI and completely dependent on the The features of Kerberos's complex deployment do not guarantee data consistency, and when tampered with, the wrong result can lead to erroneous decisions.

In this respect, pupils says: "The security model for Hadoop can be layered." There must be good access control at the outermost level to ensure that only people with relevant permissions can access the Hadoop data; the second layer is the network threat Defense, setting the relevant mechanism to prevent the network from being invaded; the third layer is the application-level program upgrades to ensure that there are no vulnerabilities; the fourth layer is data confidentiality, The fifth layer is to ensure data integrity so that data is not tampered with. Based on the above five-layer protection strategy, a security policy model based on Hadoop structure is obtained. ”

At present, the trend of science and technology has focused on the actual landing of large data security, a change of the traditional serialization of data processing, the introduction of a Hadoop computing system, all received events classified and cross processing, and the use of Hadoop system operation, thus forming a smart network protection cloud. And trend technology is about to launch the server Deep Security protection system (Deep Security), will continue to play the industry's unique agentless safety deployment advantages, in the Hadoop "five-tier" protection structure, respectively, the implementation of firewall, IPS, anti-malware self-help application protection/virtual patches, Data encryption, integrity monitoring functions, and in support of large data application of the entire audit, to help users complete the security strategy of another change.