The ever-increasing advancement in information technology has led many people to get involved in either acquiring third-party services or delivering products or services. In both the cases, companies need to secure their network systems in order to reduce the risks of the information breach.
It is imperative to note that with the ease of managing information resource through computing networks, the threats have become highly sophisticated. Therefore, conventional methods to secure information don’t work well in the present day scenarios.
So, organisations need to automate their security systems in order to ensure active threat detection and analysis before the attacks. It compels the organisations to devise a data security strategy based on entity user behavioural analytics- EUBA. The reason is that a modern-day data breach can only be mitigated by adopting smart methods.
How Cyber Security has changed over the Years
According to IBM and the Ponemon Institute report released on their 12th annual study, the average cost of information hack is posing a serious risk to the integrity of the organisation.
The results indicate that an average cost per record stands at USD 141 globally. Further, the average cost of a data breach activity which the organisation has to bear is USD 3.62 million across the world. It is 17 per cent higher as compared to the average for the year 2013.
Therefore, it is evident that cybersecurity has changed over the years. This growth on threat and evolving security environment is owing to the following reasons:
- An increase in the accessibility of the Internet globally
- The increased number of smart devices interacting with the corporate assets
- Modern inventions and centralised data systems
- Cloud-based information management systems
- Globalized interactivity and sharing of information
What is UEBA/EUBA?
First of all, it is essential to understand that UEBA and EUBA are one of the same things. These terms are used interchangeably.
The sensitivity of information security has led the IT professionals to figure out potential ways to eliminate emerging risks associated with the data. The main reason for making a quest in this realm was the out-dated procedures of security which were unable to detect threats until any breach occurred.
Therefore, artificial intelligence was used as a useful tool for managing data security along with machine learning methods. The result is using behavioural analytics.
UEBA is referred to the process of data protection which takes the behaviour of the users into account to understand potential threats in time. The technology differentiates the normal behaviour from the suspicious activity and generates alarm accordingly.
What is the operating mechanism of the EUBA?
As already mentioned, EUBA performs its working activities by analysing behavioural patterns. Let’s understand the working methodology of the system by an example:
By implementing behaviour analytics in your information security system, you can get quick reports of different users to access their user accounts through ID and Password. It is a common practice that people can forget their passwords. So, the system process such requests frequently. However, if this activity is performed, again and again, it is not normal, and then the suspect is detected.
Further, if the credentials of a credit card have been stolen and the thief is using it for shopping. The system will check the shopping patterns of the past and compare the results with the present results. Obviously, it will be different, and then the fraud will be detected, and an alert will be generated to block the activity.
What are the Benefits of UEBA?
The complexity of information threats makes it difficult to be detected and eliminated. However, UEBA enables the organisations to deal with such threats effectively. A few advantages of UEBA are as given below:
The types of threats are highly intricate and seldom detected through the conventional tools and techniques. The reason is that insiders are the individuals who work within the organisation and they have adequate access to the system.
For example, employees and managers can use the information systems as per their privileges. So, any threat associated with them is severe to be detected. But, entity and user behaviour analytics make it possible to analyse and identify insider threats effectively.
Malware is installed on the victims’ computer intentionally to compromise the security. However, malware, virus and Trojan of the today world are highly intricate in their nature and operations. Only the intelligent user behavioural analytics systems can prevent the loss caused by malware.
Analysing user’s behaviour is a fact which can help to determine their intent. So, user behavioural analytics is used to distinguish suspicious activity by understanding the potential intention of the hackers in order to protect the system.
To sum up, if your organisational data is protected using a secure security procedure, even then you must understand the importance of understanding user behaviours. Therefore, don’t forget to implement user behavioural analytics EUBA to ensure adequate information security.
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