Case Study

A regional cybersecurity services company and its government clients use Aicadium’s threat analytics engines to detect and resolve threats


One of the largest cybersecurity services players in Asia sought to use machine learning to enable behaviour-based detection of threats, allowing the team to preemptively stamp them out and bolster security for its government clients.


The company uses Aicadium’s threat analytics models to detect instances of data exfiltration threats and traffic and system behaviour anomalies such as lateral movements, anomaly access patterns and endpoint call back. The models are deployed on Bedrock as live engines in government cloud environments. 


Aicadium’s solution reduces time to detection and time to resolution for cybersecurity threats. It also minimizes false negatives, detecting threats that otherwise would have flown below the radar.

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