Anomalous behaviour detection: the most elusive security issues pose the biggest threats

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Over the past 20 years, enterprises have been fairly successful in combating “the threats you can see”. Measures have included antivirus, firewalls, access controls, and physical security of the data centre, along with Governance, Risk and Compliance (GRC) methodologies.Some organisations have also introduced security operations centres that capture and analyse network traffic to discover threats. […]

Over the past 20 years, enterprises have been fairly successful in combating “the threats you can see”. Measures have included antivirus, firewalls, access controls, and physical security of the data centre, along with Governance, Risk and Compliance (GRC) methodologies.Some organisations have also introduced security operations centres that capture and analyse network traffic to discover threats. What most organisations have yet to do is find a way tackle internal threats from employees and others who operate within their approved authority, but start to abuse delegated business privileges and rights.

Capgemini offers a solution that can spot anomalous and suspicious behaviour by applying advanced, machine learning algorithms to a broad and deep big data set. Through the application of innovative data science techniques to huge volumes of data, you can detect atypical patterns of behaviour fast, and often take action before a threat becomes critical.

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