As we are moving rapidly towards the technology innovation, we are also getting dependent on technology on a daily basis. With the increase in dependency, we have opened ourselves to an entirely new threat i.e cyberattacks. It was way back when cybersecurity could walk just a few steps but now it’s a billion dollar industry which has the capability to reach $1 trillion by 2020. It has become the necessity to implement cybersecurity services and practices in premises. Generally, a company implements 30 to 40 solutions for security purposes.

Technologies like Artificial Intelligence and Big data can give the advanced solutions to reduce the risk related to the sensitive areas of the system. You can explore more about these trending technologies through certification courses, webinars, tutorials like machine learning courses which include omnichannel pathways, virtual counselors, cognitive courseware, AI enabled course development etc. Even the beginners can start learning to make a solid base by gaining the insights of the data which will help you in classification, clustering, and regression.

Let’s understand the role of AI and Big data in the cybersecurity in detail:

Implementation of AI in the organisation makes it faster to overcome the cyber risks. The identification of malware which was harder previously with traditional methods has now become easy with AI. As AI keeps records of all previous data attacks, any suspicious activity can be easily recognised.

One more thing which differs it from the traditional method is time, the time consumed by tech employees is minimised by AI applications. The application of AI is widely used for detecting, identifying, simplifying and solving the threats. AI gives the leverage to the system to automatically manage the threat and solve them by the automated solutions. AI also helps in categorising the cyber attacks according to the harm they can cause to the company.

Although, there are experts who believe that half of the cybersecurity systems need updating to reduce the number of threat. The more painful thing is that these cyber threats are getting more common, impactful and advanced. Multiple compromised attacks like DDoS attacks have the ability to exhaust the company completely in terms of infrastructure and resources.

Despite that, the advancement of AI technology can seriously address these issues and help us in providing the solutions. In the year 2017, $3.92 billion of the global market was marked in cybersecurity and is expected to reach $34.81 billion by the year 2025. There are products which have marked their presence like Dark trace, Sophos, FireEye etc.

Big data is a heap of data which helps in analysing, observing, detecting and examining the irregularities of the network. The information collected through different sources helps in finding the security-related information so that the issue can be addressed properly. Using the data, the problems can be resolved and detected within the fraction of time. Also, it helps the cyber analyst in predicting the possibilities of invasion and intrusion.

Nowadays, most of the companies are depending on Big data to develop the shield against cyber attacks. Around 84% of the enterprises are using data to block the hackers and because of that, there’s a decline in cybersecurity breaches. In fact, the data can be used as an advanced analytics tool which can give you the insights of cybersecurity threats such as malicious insider programs, malware/ransomware attacks, compromised and weak devices.

Even some of the respondents like CSO confessed that they aren’t able to use Big data to it the full potential because of reasons including lack of right tool, the volume of data and obsolete data. There are several ways Big data helps in cybersecurity:

Risk Management:
It is essential to ensure your tools are supported by the highly intelligent risk-management so that Big data can be interpreted easily. In this way, you can categorize and handle the threats properly without any delay.

Visualise the Threat:
Using Big data analytics, the analyst can predict the class and intensity of the threat. With the help of data source evaluation, you can easily judge the complexity of the cyber attack. The tools give the leverage to compare the historical and current data to understand the stats of trend.

Penetration Testing:
It involves the five stages that are planning, scanning, gaining, maintaining and analysis (and WAF configuration). Basically, it gives the insights of business infrastructure i.e. database, a process so that hackers aren’t able to break the security. Penetration testing is now an important step to protect the business data and IT infrastructure.

Bottom Line:
Artificial Intelligence along with Big data can surely change the future of cybersecurity by the proper implementation, innovation, and advancement. Businesses can remain safe and secure from cyber security breach and hacking. Penetration Testing can be done periodically to ensure your analytical program is working perfectly. In addition, proper monitoring and continuous improvement in the process can make your business impenetrable.

Interested in hearing industry leaders discuss subjects like this and sharing their use-cases? Attend the co-located IoT Tech Expo, Blockchain Expo, AI & Big Data Expo and Cyber Security & Cloud Expo World Series with upcoming events in Silicon Valley, London and Amsterdam and explore the future of enterprise technology.

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