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Behavioural Analytics Has Taken Cyber-Security to the Next Level - 2018

  • By Michael Samson
  • 12 Apr, 2018
Behavioral Analytics Has Taken Cyber-Security to the Next Level - 2018

True cyber-security is preparing for what’s next, not what was last – Neil Rerup

Ever-increasing concerns over the security of data have created a great buzz across the world. As organizations are becoming more prone to data vulnerability, the concept of cyber security is getting more popularity for a good reason.

Not only this, it has become imperative to safeguard data because organizations are collaborating with each other in order to extend their businesses. In this way, companies are bearing more pressure to ensure data integrity.

However, insider threats are more intricate to detect and resolve. The need for a strong immune system to protect data over the global networks has been increased significantly.

It is the reason that behavioural analytics tools are taking the cyber world into the storm by severe competition. Presently, 32 products are released to aid organizations in the realm of cyber security.

The concept of Analytics Tools for Behavioural Assessment 

The concept of Analytics Tools for Behavioral Assessment
The concept of Analytics Tools for Behavioural Assessment

It is a term specifically relate to the cyber world. Basically, software tools are used to detect cyber threats and data breaches.

The distinguishing factor is that these behavioural tools help to estimate configurations of data transfer over the network. Using the software, behavioural pattern identification becomes easy, and it helps to figure out suspicious activity.

The objective is to make an active control over the transmission of data. Artificially intelligent tools identify an anomaly in data transmission and generate alerts to data managers. As a response, IT managers take a pro-active approach to eliminate the risk of cyber-attack.

Significance and Scope of Behaviour Detection Tools in Cyber-Security

Significance and Scope of Behavior Detection Tools in Cyber-security
Significance and Scope of Behavior Detection Tools in Cyber-security

The business organization frequently uses Firewalls, antivirus programs and intrusion detection and prevention systems for data security. These tools are used conventionally to match signatures and fingerprints to identify data intruders.

Various enterprises and mega organizations are using analytics software to detect suspicious behavior over the data networks. It helps them to safeguard data from potential intrusion. Not only this, analytics software is used to get proper analysis and report of an anomaly.

According to eminent researcher Eric Ogren, the market for behavioural analytics is booming since 2015, but it is in its initial stages and immature. However, it is not possible to ensure the effectiveness of a software tool when it comes to cyber-security.

Nevertheless, cyber tools and techniques have demonstrated great value to ensure data integrity. Therefore, cyber security experts are highly skeptical about the credibility of security management systems.

How Behavioural Analytics has changed cyber-security over the years

Predictions help to determine the course of action. Similarly, understanding of normal and abnormal behavioural signs and patterns help to identify the anomaly. So, it directly generates caution to keep data security officer alert in order to take proper action.

Therefore, analytics tools are considered as forensics in the digital world. These tools can potentially help to determine the location of hackers and intruders. So, detection of threat along with identification of malicious actor is an essential characteristic of modern security software.

According to Worrall, an eminent cyber expert, analytical tools to detect behavior patterns over the network help to fill the gap between network security and network protection. However, machine learning and artificial intelligence has helped better in this sphere of cyber protection as given:

  • Higher Integration with cyber-security Tools
  • Foolproof protection of databases and enterprise data systems
  • Save money spent on the detection and recovery of data after the breach
  • Strong identification of user authentication and integrated tools
  • The best solution to combat spiraling cyber threats

Concluding Remarks

Organizations are making heavy investments to ensure data integrity. Various tools and techniques are used to keep the data safe from illegal access. No doubt, detection, and prevention of data breaches have become easy with the help of intelligent software.

However, anomaly detection before data breach was a big challenge for all organizations. It has become possible with the help of behavioural analytics. The software helps to figure out the abnormal behavior of a network during data transmission which alerts IT, professionals.

So, it shows progressive developments in the field of cyber security. Remember! A proactive approach towards data threats can help to ensure data security more comprehensively.

Don’t waste time in waiting for the intruder to give you a loss. Be ready to stop him at the door of your data store with the help of pro-protection.

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