Big Data Analytics- Playing a Key Role in Cyber-Security
With growing complexity of IT networks, the inventiveness of hackers to bring down the online systems and abuse of data is on the rise too. According to recent studies, the rapid digitization will increase the cost of data breaches to $2.1 trillion by the end of 2019. Cyber criminals 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 keep a leg up of these threats.
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.
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 large amount of data sets and identify changing use patterns, market trends and unknown correlations in real time. Based upon 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 Playing Big Role in Cyber Defense
Traditional security approaches operate on a set of filters in which data is flagged as trusted or untrusted. Unless 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 huge amount of structured and unstructured data in real time and draws necessary contextual insights.
Big data analytics has capability to perform complex data analysis and build predictive models. Based upon 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 malicious insider. Thus, protect critical data in order to lead a long-run development.
After a security breach is detected, big data analytics tools alerts security analysts and anticipate on how the attack will progress. These tools also provide with actionable insights for resolution thus reducing damage and helping businesses in minimizing the potential costs after a breach occurs.
Rounding It Off:
When it comes to cyber security, 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 devastating consequences of cyber breaches.