While considering all of the problems experienced by today’s IT security team, the most difficult detection of threats is within the organization. Most of the tools are designed to protect the infrastructure from external risks and do not track the threats that are within the firewall.
The insider threat is divided into three main groups. One must be treated by malicious employees. They can try to create a new revenue source by selling valuable data to competitors or creating client databases for new employers.
The second group is called “intruder.” These are the people that have devices infected with malware and used it to connect to corporate IT infrastructure. Some might only attach a USB key to your company’s PC and malware transfers to the PC.
The third group is the called “random informer.” They are employees who accidentally leak confidential emails to others or put a laptop on the back of the taxi. They do not intend to hurt your organization, but your actions end there.
The role of UEBA
More and more organizations are turning to user and entity behavior analytics (UEBA) to protect themselves from internal threats. These tools use the rapid development of artificial intelligence and machine learning and help the security team to overcome the challenges.
Many user and entity behavior analytics tools are available to the organization, but the most effective need is too capable of identifying the internal threats before some suspicious thing happens
Given the most appropriate UEBA tool, the security team must evaluate four key criteria. They are as follows:
1. The ability to prepare data and associate it with an identity
Data used for monitoring and security response can be obtained from various sources. This includes accessing the control systems and content control filters, network management platforms and firewalls. It is necessary to understand the reliability of these data and to analyze whether they contain signals of unauthorized activity.
Also, these data must be associated with a specific user. Account IDs, such as Active Directory, cloud, e-mail access, etc. All of them must be stored in one place. Therefore, if a user accesses a financing application, accesses Dropbox and downloads a large data file, you can create a database of behavior using the AI function or the machine learning function, but it is possible to associate it with a specific user. This is not useful if you are not associated with a particular user.
2. Use real-time analytics to detect threats
Effective UEBA tools can also support the security team by analyzing large amounts of collected data using analytical functions to determine user behavior in real time.
This tool should be able to identify the threat using statistical analysis and trending learned reliably. This increases the way in which risks are prioritized and helping in minimizes false positives by adjusting the outcome of factors such as risks and contexts.
3. AI / ML to enable hunting and user monitoring
The selected user and entity behavior analytics tool can help organizations stay ahead of unauthorized use and automatically identify the most significant threats for further analysis. As a result, the security team can prevent the many low-level warnings and focus their time and effort on the most serious threats.
Here, the use of the AI / ML cloud tool will bring great benefits to the organization. Because this requires much effort for its configuration before installation, it can reduce installation costs compared to the on-premise deployment.
4. Strong integration with the underlying data platform
The 4th requirement for an efficient user and entity behavior analytics tool is the capability to differentiate among the simple anomalies and the real threats. This is achieved by using a situation that is provided by evaluating all of the available data and is particularly useful when the tool is intensely incorporated in the data store.
With such integration, security groups can have a single pane that centrally manages the legal visibility of the complete IT infrastructure. It can respond quickly to incidents and provide more effective protection for the organization.
Given these requirements, the security team can be convinced that the best and optimal UEBA tool has been selected for deployment. This ensures effective protection against one of the most complex internal threat sources.