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CyVectors LogFileSensor – Log Monitoring & AI Threat Detection

Plain Text Log File Event Awareness with Embedded ONNX AI
Reports plain text log file activity to the SIEM as syslog for the endpoint it is monitoring.

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Embedded AI

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Sensor Operations

Problem: Critical security signals are often buried in massive log files; manual reviews miss early attack indicators.

 

• Solution: LogFileSensor monitors configured log files for defined strings, captures matches, and reports them via syslog in real time.

 

• Why Different: Integrates ONNX AI models for anomaly scoring, adaptive thresholds, and autonomous learning. Supports mass - match detection, periodic AI summaries, and JSON syslog export.

 

• Syslog Output Fields: Timestamp, Sitename, Host, Service, FilePath, SearchString, MatchCount, MatchRate, Threat Score, Threat Level, Issue Type, Recommended Action.

Host Resource Requirements

  • CPU: < 1%

  • Memory(RAM)  < 50MB

  • Disk: < 1MB per day log writes

  • Network: < 1KB/s syslog traffic    

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