Traditional security approaches, such as antivirus software and firewalls, while crucial, no longer suffice in the face of increasingly sophisticated cyber attacks. MSPs need a proactive approach that not only secures their clients’ network perimeter and responds to internal threats, but also monitors user accounts and detects anomalous behaviour.
A survey by the SANS Institute found that 35% of respondents lack visibility into insider threats. Analysing user behaviour is essential to understanding how users interact with systems, applications and data. By harnessing the power of data analysis and machine learning, user behaviour analysis (UBA) empowers MSPs to detect anomalies, mitigate risks and optimise security posture.
