Machine Learning to Stop Whistleblowers

Interesting take by  on how Machine Learning might inadvertently become a dangerous tool in organisations trying to identify whistleblowers using anomaly detection (references a previous ML presentation of mine for Insider Threat purposes).


“The point for journalists is that collections of small actions – including those which protect the whistleblower – can be just as compromising as obvious oversights like a lack of information security.”


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Big Data in Cybersecurity Conference – Live Stream

If anyone is interesting in any of the talks being delivered tomorrow (10th of May) at the Big Data in Cybersecurity Conference in Edinburgh, please see here to watch them live. This includes my own talk at 2pm which is: Splunk User Behavioural Analytics – Machine Learning for Threat Detection

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