13–17 Jun 2022
Europe/Rome timezone

Race against time – leveraging anomaly threat detection

14 Jun 2022, 16:00
1h 30m
Room C

Room C

0_1wersh16
Single Presentation - 25 min Race against time – using big data and machine learning to identify and respond to anomalous cyber threat activity Sniffing It Out

Speaker

James Ng (AARNet (Australia's Academic and Research Network))

Description

The AARNet Security Operations Centre (SOC) went live in September 2021 and monitors a number of diverse university environments for potential cyber threats by categorising thousands of behaviours of interest in near real time that on their own may not be malicious but could contribute or be part of a larger attack.

The SOC utilises user entity behaviour analytics to correlate the relationship and behaviour between users/accounts and entities/assets using a cumulative risk-based approach in order to get the team to cut through the noise and focus on the things that matter most. This is in contrast to traditional and historical security technologies and defined rules that have relied on ‘known bad’ data to detect malicious activity.

Primary author

James Ng (AARNet (Australia's Academic and Research Network))

Presentation materials