Cases

Organisations produce massive amounts of log data every day from servers, applications, networks, and IoT devices. Reviewing these logs manually is time-consuming and often impractical, causing critical alerts to drown in the noise.

At the same time, compliance frameworks such as ISO 27001 require systematic, documented monitoring. The challenge was to create a solution that could proactively detect issues while providing the necessary documentation to prove that monitoring is consistently in place.

Log Analyzer is a plug-and-play AI agent that integrates directly with the customer’s existing log sources. No changes to existing systems are required, and it can be connected to a wide range of platforms – from transaction-heavy systems and web applications to server environments and IoT networks. Once a day, for example, you can send a snap shot of a log file to Log Analyzer. If Log Analyzer detects any concern, it will promptly alert you in your favorite channel, e.g. with a message in your IT Operations Slack channel or a Microsoft Teams chat.

Our AI applies pattern recognition, anomaly detection, and contextual analysis to identify errors, security threats, or anomalies that may indicate potential issues. Findings can be fed directly into compliance reporting systems as needed.

Hosting centres: Use Log Analyzer to monitor hundreds of servers, detecting issues and intrusions more reliantly.

Manufacturing companies: Integrate the solution with your IoT sensors or manufacturing system surveillance, enabling proactive maintenance before equipment failures occur.

Financial institution: Include Log Analyzer outputs in your ISO 27001 documentation, to significantly reduce audit preparation time.

Reduced risk: Early detection of errors and security threats.

Time savings: Removes the need for manual review of large log volumes.

Compliance support: Facilitates ISO 27001 and other frameworks with documented monitoring.

Flexibility: Works across industries and system types without requiring technical modifications.