Case Study: ScaryByte strengthens academic fraud detection with Graylog Security and AWS

A Graylog Case Study

Preview of the ScaryByte Case Study

ScaryByte restores academic integrity with Graylog and AWS-powered AI detection

ScaryByte, a Johannesburg-based cybersecurity firm, faced the challenge of helping academic institutions detect a surge in digital fraud and cheating. Disjointed log sources from various systems made it nearly impossible to achieve visibility and rapid threat detection. To address this, ScaryByte built its Obala platform using Graylog Security as its foundation for real-time detection.

The solution implemented by Graylog unified telemetry from proctoring tools, LMSs, and identity systems to create a cohesive security strategy. By correlating events and using behavioral analytics, the Graylog-based platform transformed scattered data into actionable insights, significantly reducing investigation times and helping to rebuild confidence in digital education.


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