Articles

• Detecting Human Behaviour on BlueCoat Proxy Logs

  This is the sequel to exploring BlueCoat proxy logs. Having defined their structure I now proceed to analyse actual log content. As my knowledge of the origin of these sample logs is limited, I'll try to extract as much information about the nature of proxy deployment, user behaviour and their geographical location.
  

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• SpectX & Open Data: Parsing and Analysting html-lists

  I recently came across an article about an introductory open data exercise analytics using Python (scraping web, extracting data with regex and visualization). Fun learning indeed. But then I thought how much much time and how many lines of code it would take to do the same thing with SpectX? Let’s find out.
  

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• Parsing BlueCoat Proxy Logs

  Finding sample logs in the web is not an easy task. This is quite understandable as log content is nowadays considered sensitive (hint: GDPR).
  

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• Experimenting with raw log files

  It's in the original raw log files where the truth lies. Here's how to quickly access and play with your data to make real discoveries.

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• Play with raw machine data to solve an incident. Introducing SpectX Base.

  SpectX Base is an analytics platform first and foremost for security teams. It helps them quickly get into the heart of security incidents by analysing vast amounts of unstructured logs and other raw machine data.
  

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• SpectX raises investment to expand opportunities in big data analytics

  SpectX has raised investment from Karma Ventures for product development and growth. The startup founded by former security engineers at Skype and Swedbank is developing a powerful analytics software solution for rapid processing of unlimited amounts of data. The product will be publicly launched in autumn 2017.
  

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• Whitepaper: Inertia in Processing Machine Generated Data

  It turns out that extracting useful information from logs is not easy. In fact, the processes of obtaining data and preparing it for analytics is a complicated and costly process. The aim of this whitepaper is to describe these complexities and bring out the core reasons that form the phenomena of inertia in machine generated data.  
  

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