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

Publish date:

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.

Anomalous behaviour detection:...

File size: 341.64 KB File type: PDF

Related Resources

Anticipatory Flood Risk Management

Insurers can play a crucial role to make communities resilient and mitigate such risks by...

GIS Analytics

Vegetation management can be one of the largest line items in your budget. But, constant...

The State of the Art in Agile Software Development

What is the latest in agile software development life cycle (SDLC)? This is a question we...