An average cyberattack takes 280 days to be detected and contained while costing over $3.86 million, according to IBM.
In an ever-increasingly digital world, cybersecurity is a significant concern for small and large businesses alike. These attacks are getting more and more advanced as attackers learn new techniques, which has raised serious concerns throughout the industry.
How can you protect your company from cyberattacks? Big data and data analytics
is the answer. In today’s blog, let’s look at how big data analytics is helping boost cyber security in enterprises of all sizes.
Big Data And Cyber Security – A Match Made In Heaven?
Verizon’s report suggests that 85% of all attacks involved a hacker, whereas 36% of them used phishing as a way to gain unauthorized access.
A threat is difficult to neutralize in environments where a lot of data is involved, especially in organizations with massive amounts of internal data. Changing attack patterns also make attacks stealthier and more challenging to pre-empt. Implementing data science in cyber security is the only way for any organization to stay one step ahead of all cyber threats in this scenario.
Role of Big Data Analytics in Cyber Security
Big data analytics is often used to make data-driven decisions and determine customer preferences. But big data analytics in cybersecurity is used to strengthen cybersecurity in today’s modern business environment.
Businesses can utilize big data and data analytics to identify what’s “normal” and strengthen cybersecurity parameters based on the findings. Big data analytics also allows companies to visualize how attackers could penetrate their systems using data analytics and machine learning after studying an attack.
Regular analysis of data improves the detection of attacks before they are flagged manually. Computers are able to execute complex analyses regularly, almost in real-time, to ensure your systems stay secure. They comb through a wide variety of data sources. from server and application logs to network events and user activities.
Application Of Big Data and Data Analytics to Boost Cyber Security In Businesses
Application #1 – Real-Time Intrusion Detection
Monitoring all systems and hunting down vulnerabilities in real-time poses an enormous problem for smaller organizations. Big data analytics helps solve this problem with the help of Intrusion Detection Systems driven by large datasets, which allow the detection and neutralization of threats comprehensively in real-time.
These tools allow you to comb through large datasets, identify malicious traffic and monitor all traffic going through your systems.
Application #2 – Predictive Analytics with The Help of Machine Learning
Data science in cyber security arms your company with the ability to predict how the next attack may occur or through which channel. It achieves this by learning from your past and present data.
These algorithms comb through large amounts of data to determine which weak point in the system may be the next target and protect that point in real-time until the issue is fixed. These can also detect malware, anomalies, and other vulnerabilities in real-time to notify the concerned team about them.
Application #3 – Risk Reporting and Management
Through big data analytics in cybersecurity, analysts are able to gather insights and present data-driven stories for key stakeholders and management so they can visualize opportunities, threats, strengths, and weaknesses of systems, ensuring they are always protected.
A system that studies parameters like authentication exceptions, handling of user incidents, tasks during non-business hours, etc., helps organizations mitigate their risk and report on any impending problems.
Application #4 – Automated Activity Monitoring at Scale
An employee tracking and monitoring system driven by big data is integral to any successful organization.
Systems that allow employees to only change data and access files they are authorized to view and edit using their logins and other system applications are the foundation of this application.
Monitoring the vast amount of activity of systems/users with the help of big data analytics can help keep threats at bay. This approach can help prevent numerous data breaches.
Often, security breaches can be attributed to employee negligence. This problem plagues both large corporations and small businesses. Thus, it’s imperative to limit or restrict employee access to certain business-specific information. We can help you achieve this with big data analytics.
How We Help You Secure Your Business with The Help of Big Data
The use of big data analytics in cybersecurity is growing by the day. Do you have a team of experts to support your company? Speak to our crew of cyber security experts who can help you secure your business today.
Our team has gained immense experience working with the titans of the industry, helping them implement big data-driven solutions to improve productivity. Our flexible and transparent solutions help you reimagine business processes and get a competitive edge in this new world.
We’ve delivered over 600 projects for clients across the globe. Since 2008, our team has pioneered hassle-free delivery of ITES projects. Our data-driven insights enable your company to cut decision-making time by more than 60% while increasing overall productivity. Our cutting-edge big data solutions have helped several companies decrease their costs while improving their revenues.
Our team of 350+ developers is happy to help you secure your businesses’ operating environment by implementing data-driven cyber security solutions.
Who We Are and What Makes Us an Expert?
This article is brought to you by Flatworld Edge a custom software development and big data services company. As a reputed provider of AI and Big Data analytics services, we develop cutting edge AI-powered custom software solutions. If you are looking to implement big data analytics in cyber security, get in touch with us now.
