[Attack detection] detects hidden threats to maximize the performance of "Behavior Analysis ".

[Attack detection] detects hidden threats to maximize the performance of "Behavior Analysis ".

Attack Detection: detects hidden threats to maximize the performance of "Behavior Analysis". After a bridgehead is built on the network, attackers can use the obtained permissions to detect the surrounding environment and expand the control scope, the ultimate goal is to steal, tamper with, or destroy sensitive data. They will sneak into the enterprise in the middle of legitimate users, hiding in the enterprise network for several months or even years.

Traditional Attack Detection Methods pose a huge burden on the security team for manual operations. Enterprises often have to integrate security data of multiple terminal products in one place to detect and prevent malicious behaviors. The result is that security protection falls into the "Fire Fighting" Mode: a large number of alarms are generated, but the context environment required to control threats is lacking. Analysts have to spend valuable time and energy pursuing additional information, the mission of blocking malicious attacks is blocked.

The professional technologies and human resources required by the "Fire Brigade" model pose a great burden to enterprises. Even if all the necessary information is collected, the security team also needs additional resources and expertise to sort alerts before associating, investigating, and blocking threats. Therefore, it is understandable that many teams do not perform such analysis because of the large amount of manpower involved. Of course, this makes enterprises face the risk of attacks.

Emerging methods such as Behavior Analysis and machine learning are favored by enterprises in this situation. These emerging methods redefine hidden security event detection and network attack protection, and will be adopted by more enterprises in the future.

However, before the purchase and deployment, the security team should consider how to maximize the performance of the Behavior Analysis Service.

Unified Security data set

The Behavior Analysis Service requires high-quality data from the correct location, ideally obtained from the cloud. Sensors must be deployed on the cloud, terminals, and networks. Data should be collected to a unified dataset for easy access. There are too many independent products that do not share data, and it is basically impossible to build behavior analysis, because it may be a lot of time spent on standardized data rather than identifying and blocking threats. The security team should consider using the behavior analysis service that comes with a cross-platform high-quality data continuous collection function.

Native workflow automatic processing capability

Behavior analysis aims to identify advanced attacks, insider threats, and infected terminals, and prevent them before they cause damage. The first step in behavior analysis is to identify the most critical threats and generate a small number of practical alarms with the investigation information required to verify the attack. The security team should not waste time sorting endless alarms and false positives. As long as the attack is confirmed, native workflows should be automatically prevented to minimize the extra effort. Behavior analysis can directly perform protection operations on the application platform of the alarm source, so that the security team no longer needs to spend manpower and time to bridge the various operations.

Cloud delivery

When considering deployment, cloud is the best delivery mechanism for behavior analysis. The deployment and management of internal infrastructure will continuously increase the complexity of IT operations. More importantly, this approach does not provide the agility and scalability required for frequent Security innovation. However, the cloud can:

It provides an extremely economical way to store a large amount of data required for behavior analysis;

Quickly and efficiently push new algorithms and continuously improve their performance;

The deployment process is accelerated, eliminating the need to maintain or upgrade internal software.

Behavior Analysis is a powerful tool worthy of consideration for every enterprise and should be an essential part of the security team (not just IT. The security team has been searching for new methods for Advanced Attack discovery and removal, but has struggled to introduce new features without adding new infrastructure and manpower. Deploying this technology as part of a platform integrating sensors, execution terminals, and analysis services can achieve an automated vision without introducing additional complexity.