The traditional approach of Cyber Security has become less effective as the nature of cyberattacks has evolved. Cyber attackers use loopholes and target hardware equipment, software, and network systems of an organization, exposing them to more vulnerabilities. With increased dependence on cloud and on-premises data repositories, adoption of 5G, and interconnected devices, organizations have started to adopt advanced data and security analytics platforms. It deploys advanced analytic techniques to structured, semi-structured, raw data and allows analysts to gain new insights from inaccessible data or existing data to drive faster and better decisions.
Table of contents
1. Rise of big data analytics in cyber security.
2. An introduction to NewEvol’s big data analytics.
3. NewEvol’s data management and analysis capabilities
4. NewEvol’s in-house cyber security platform
5. Tools offered by NewEvol security analytics
6. Example of security analytics use cases
7. Conclusion
Rise of Big Data Analytics in Cyber Security
Millions of devices connected to the same network and cloud create a surface full of entry points. These entry points are loopholes for cyber attackers. As the volume of cyber threats increases, the need for an all-inclusive, data-driven, end-point security solution arises. In today’s world, big data analytics has become an essential approach to drive better and fast decisions. Big Data Analytics detects cyber threats at an early stage and prioritizes the security of an organization as a standard measure.
An introduction to NewEvol’s Big Data Analytics
NewEvol’s big data analytics deploys data mining, machine learning, statistical algorithms to analyze data sets and gain useful insights. The security operations team can create and customize current threat models to prevent or mitigate the effects of threats. This solution as a group uncovers customer patterns, explores several situations, predicts future incidents, and provides possible diagnoses related to cyber security problems.
NewEvol’s Data Management and Analysis capabilities
NewEvol security analytics is a modern approach to cyber security that uses data collection, data aggregation, analysis tools and applies it to security operations to detect, remediate and monitor threat data. The solution helps investigate malicious events and protects the organization against present or zero-day threats. Data aggregation collects data from different sources and presents a summarised way for statistical analysis.
NewEvol is a Revolutionary Cybersecurity Platform
NewEvol has developed a platform that applies machine learning and artificial intelligence technologies to security operations, automating the response to events by proactively being ahead of cyber attackers. NewEvol has developed a group of tools in-house and integrated them into one platform in a cost-effective way. NewEvol’s cyber security and data analytics platform is easily scalable. The data structure of this platform can increase to accommodate large networks and a high number of users.
Read Our Blog: NewEvol's Powerful Combination of Cybersecurity & Data Analytics | NewEvol
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