Cloud-based SIEM has become an essential component of most contemporary security systems, incorporating AI and machine learning to provide enhanced security coverage and up to the minute cyber security threat detection and responses. AI algorithms work around the clock, continuously monitoring network data and user behaviour to identify potential cyber threats. AI algorithms can assess huge amounts of data almost instantaneously, analysing cloud log data in real-time to assess whether any anomalies could indicate a possible threat. AI models can also analyse written communication content, including emails and messages to identify compromised links and attachments, alerting the relevant security team members to intervene where necessary.
