ML-based Security Analytics with Apache SPOT on PNDA

We’ve been really excited to work with the Apache SPOT team to get SPOT up and running on PNDA in recent weeks.

Apache SPOT is an award-winning open source cyber security application which detects potentially malicious activity by identifying suspicious network connections, through analysing large amounts of NetFlow, DNS, and proxy data.  Spot applies advanced big data analytics, including machine learning, to identify anomalous network traffic, which effectively reduces incident MTTR and minimises the adverse impacts of a breach.

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With many common underlying technologies (Kafka, HDFS, Spark Streaming, Hive, Jupyter), it took the SPOT team only a couple of days to get most of their applications up and running as managed PNDA applications.  We recently demonstrated SPOT+PNDA at ONS2017.

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