Big Data Analytics

Use existing log sources

Big data platforms will allow you to import any output you may have from a variety of tools within your organisation. Examples of those may be Active Directory, DHCP, IDS/IPS, Netflow, firewall, proxy, Antivirus and a lot more log sources.

Back end infrastructure (like Hadoop and MapR) will allow you to  handle large data volumes so you can perform rapid analysis.

Obtain full infrastructure view

Create interrogative dashboards for a variety of statistical or metric related data. Use big data to show you the compliance status of your infrastructure or obtain a glimpse of how secure your network currently is.

Usage of latest tools (like Splunk) will allow for advanced visualisation and reduce the time you need to identify critical issues as well as the path to resolving these faster.  It will also provide you with a detailed view of your asset status and offer ability for proactively identifying any existing minor issues that can be corrected immediately in order to avoid future challenges.  

Discover trends & perform historical baselining

Use big data analytics in order to allow you to discover network patterns and focus on over-utilised resources, identification of suspicious traffic or anything out of the ordinary that might be taking place.  

Interrogate historical data and build activity profiles which you can then use as a standard baseline for your infrastructure. You can then differentiate abnormal behaviour that you want to be notified upon.

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