Big Data Analytics- Playing a Key Role in Cyber-Security
With the growing trends of software testing and quality assurances, the inventiveness of hackers to bring down the online systems and abuse of data is on the rise too. According to recent studies, rapid digitization will increase the cost of data breaches to $2.1 trillion by the end of 2019. Cybercriminals are constantly developing bigger threats and lack of data security can lead to great financial losses and reputational damage to a company. Therefore, organizations need to find out a cyber-security solution that can help them have a leg up on these threats.
Relax, we don’t mean to make you anxious, all we aim at is to make you aware of the potential threats that your business may face when moving online.
Potential Security Threats
- Phishing Attacks
- Ransomware Strategies Evolve
- Cyber-Physical Attacks
- Internet of Things Attacks
- Access to Smart Medical Devices and Medical Records
- Threats by Third Party Involved
Other than these threats there a lot more small and overlooked elements of your business that may bring a potential threat to the cybersecurity of your business.
Before you proceed to read further the solutions to increasing cyber threat have a quick look at the 5 Technology security loopholes for businesses that can cost you a lot
Rethink Your Cyber Security Concepts
Growing sophisticated attacking methods and surging malicious insiders are clear indications that traditional security approaches cannot keep up. Businesses can no longer stick their heads in the sand, they need to move beyond their pure prevention techniques and adopt a new framework- predict-prevent-detect-response.
Now that we have talked about the threats to the work, let’s move forward to understanding the role of Big Data analytics in cyber-security.
Big Data: A Frontrunner for the Future
According to reports, organizations leveraging big data analytics are 2.25 times more likely to detect a security breach. Big data analytics examines a large number of data sets and identifies changing use patterns, market trends, and unknown correlations in real-time. Based on proven correlation algorithms, big data analytics tools combine real-time data with historical data and provide experts all the information helping in quick detection and mitigation of cyber-attacks. Big data analysis uses tools that operate in real-time and produce security errors as soon as detected, depending on the severity of the threat. The ever-evolving technologies that are a part of Big Data analysis are not only supporting cyber-security but also benefits an enterprise in different ways. With these benefits and cyber defense, big data has turned out to be an integral part of the businesses big and small alike.
Role of Big Data in Cyber Defense
Traditional security approaches operate on a set of filters in which data is flagged as trusted or untrusted. Unless a threat does not trigger a pre-defined filter, it is not detected. Therefore, an additional security layer is required that can predict these advanced threats. Big data analytics analyzes a huge amount of structured and unstructured data in real-time and draws necessary contextual insights.
Big data analytics has the capability to perform complex data analysis and build predictive models. Based on this modeling information, an organization can calibrate regular activity patterns and act proactively if any malicious anomaly is detected. In addition, big data analytics combined with machine learning can also prevent network vulnerabilities and sophisticated cyber threats.
Big data analyzes data from multiple sources and detect unusual patterns and intrusions. Empowered with proven algorithms, it enables organizations to detect malware, zero-day attacks, and the malicious insider. Thus, protect critical data in order to lead a long-run development.
After a security breach is detected, big data analytics tools alert security analysts and anticipate how the attack will progress. These tools also provide actionable insights for resolution thus reducing damage and helping businesses in minimizing the potential costs after a breach occurs.
This was a simpler approach followed by big data analysis for cybersecurity. Here are simpler aspects of big data analysis that can help you have a deeper insight into the functioning of big data for analysis of your business and maintains its cybersecurity.
- Monitoring and Automating Workflow
The biggest loophole can be found in the workflow process of any organization. As the data moves from one system to another, it faces threats of being distorted or stolen. Thus, with big data tools monitoring and automating the workflow of your data, the probability of any threat lowers. Also, as we have discussed in case of any issue detected, the alert would be shared instantly.
- Deploying an Intrusion Detection System
Big Data analysis along with network flows, logs, and system events can detect minor and major loopholes and suspicious activities. If you think your systems are healthy and the workflow is protected then you have highly mistaken.
“Almost 62% of the organizations admit security threats increase every 12 months.”
Thus, to keep your business updated and protected, install a network intrusion detection system that could help you keep your business process safe and secure.
- Analyzing Historical Data
The historical data and the statistical information about different suspicious activities of the past can help build a better business environment. Once is happenstance, but twice is a fault. If your organization has faced any big threat in the past just let the IT consulting service you have reached for assistance be updated with it.
- Predictive Models
Big data analysis can help you come up with predictive models that would keep your business safe. It analyses the potential threats and makes sure no data is ever exposed to any kind of pressure that may ruin up the things.
These were some simple features of Big Data Analysis that can keep your business away from digital threats. No matter how strong the security system you have, it is always wise to handle confidential data in encrypted form. Also, do not use a lot of external devices in the business environment and have employee training programs on a regular basis.
Rounding It Off:
When it comes to cybersecurity, even a small vulnerability can lead to huge financial and data losses. Big data analytics allows businesses to identify anomalies in advance and take proactive measures to prevent these attacks. Hence, saving them from the devastating consequences of cyber breaches.