Leveraging Data Analytics for Cyber Security Enhancements

Organizations use firewalls and content delivery networks (CDNs) to protect their servers that host websites or online applications. Cybersecurity specialists help companies manage their computing systems and confidential reports. Also, analytical tools help them understand malicious user interactions so they can prevent them. This post describes the use of data analytics in cybersecurity. 

What is Data Analytics in Cyber Security? 

Data analytics combines computing technologies to facilitate advanced statistical modeling that can help companies extract valuable insights from corporate datasets. Data analytics solutions offer user-friendly tools and practical implementation strategies to assist organizations in conducting proper cybersecurity audits. 

Cybersecurity firms can leverage data analytic solutions to find patterns in malicious user behaviors. The discovered insights often help them identify cybercriminals and predict brute-force attacks. Later, your cybersecurity team can block the IP addresses of suspicious devices. 

Enterprises require cybersecurity measures that function on a different scale than a retail consumer using antivirus software. The probability of ransomware or identity theft attacks is notably higher for micro businesses or individual computer users. Therefore, IT professionals rely on advanced analytics solutions to track the health of your websites and forecast cyberattacks. 

Use Cases of Data Analytics in Cyber Security 

1| Maintaining Threat Intelligence 

Antivirus programs regularly ask you to update virus definitions. Similarly, spam identification systems contact online database services that enlist emails and IP addresses with a history of spamming. Such facilities allow you to automate security system upgradation. 

Threat intelligence is an essential component of cybersecurity that includes monitoring the latest trends in vulnerability reporting and security enhancement ideas. For example, tracking the operating system (OS) vulnerabilities enables administrators to patch them before cybercriminals exploit them. 

Some cybersecurity risks originate from outdated encryption technologies and irresponsible user behaviors. E.g., some employees might use peripheral devices like portable flash storage without performing a suitable antivirus scan. Threat intelligence also identifies and prevents activities  compromising your IT system’s integrity by modernizing data security management. 

2| Identifying Intruders and Developing Response Strategies 

Virtual private networks (VPNs) and the Tor browser enable journalists, corporations, research firms, and defense personnel to exchange intelligence without the fear of being tracked or censored. However, anonymization systems like VPNs help cybercriminals stay hidden or untraceable. 

Remember how cybersecurity specialists use data analytics solutions to monitor IP addresses that access your website or online tools. When an IP address exhibits potentially insecure activities, the IT administrators must block this IP address. Still, cybercriminals use VPNs to bypass such measures. 

Therefore, IP blocking is not an effective intrusion response strategy. It can slow down cyberattacks but cannot stop them completely. You require advanced analytics solutions to identify intruders using identical behavioral patterns to optimize IP-based blocking strategies when handling suspicious user interactions. 

3| Data Analytics for Cybersecurity Risk Assessments 

Risk analysis via data analytics solutions efficiently identifies the probability of unwanted outcomes while enlisting their potential causes. For example, your system might use encryption during the communication between an employee’s device and your CDN. However, the connection between the CDN server and your central server might lack proper encryption, i.e., this is a cybersecurity risk. 

Likewise, your employees might use pirated software to interact with documents and other corporate work components. Pirated software often includes user-tracking systems capable of hijacking and exploiting administrative privileges on a computer. Therefore, cybercriminals might steal your confidential reports by abusing remote user privileges through pirated software. 

Advanced analytics solutions can support corporations in their attempts to identify and mitigate cybersecurity risks. These tools also create a knowledge base that describes past attacks. Insights into historical cyberattack events improve the quality of cybersecurity research efforts. 

Conclusion 

Organizations want to explore different use cases of data analytics solutions in cybersecurity and online abuse prevention. Besides, adopting higher data protection and communication protocol standards is an integral component of corporate governance. 

Firewall vendors and cybercrime investigators can leverage advanced analytics solutions to track malicious user behaviors. Moreover, you learn about several security risks caused by dangerous employee habits while interacting with a company’s IT resources. 

A leader in data analytics solutions, SG Analytics, helps organizations increase their cybersecurity compliance levels by developing extensive threat intelligence. Contact us today to create robust data protection strategies to mitigate technological risks effectively.