Pristy Audit Trail

Audit trail application: capture application usage trails and use them to generate graphs and other visualisations.

Logo Pristy Audit Trail

Pristy Audit Trail uses application-generated traces to monitor user actions, control document operations, produce usage statistics, and alert on breakdowns or incidents.


Illustration of 4 squares

Pristy Audit Trail in a few key points

  • security: detection of abnormal behaviour;
  • legal: HR disputes over access to confidential data;
  • regulatory: GDPR requirements for sensitive data;
  • functional: dashboard for monitoring platform usage

What’s it for?

Record traces of application usage and exploit them using graphs and other visualisations.

This meets the following needs:

  • security: detection of abnormal behaviour;
  • legal: HR disputes over access to confidential data;
  • regulatory: GDPR requirements for sensitive data;
  • functional: dashboard for monitoring platform usage

You can therefore:

  • List access to documents and detect abnormal behaviour. Analyse usage and user behaviour.
  • Help with GDPR compliance, particularly for sensitive data.
  • Monitor platform usage: know what is being used so you can make adjustments.

Video presentation:


Presentation of Pristy Audit Trail, at RPLL 2024.

Note: This video is in French.

Watch the original on the PLOSS-RA video platform.

Compatibility:

Pristy Audit Trail is compatible with Alfresco Community and Enterprise, and is an alternative to the Alfresco audit solution. A more comprehensive module that offers more functionality while reducing the load on the application server.

Visual dashboard

This content can be analysed in a Kibana dashboard. The dashboard contains clickable analytical graphs.

Filtered and searched content, on a user for example, can be exported as a PDF.

Technical side

To trigger external processes, we record EDM events in Kafka topics. This is the solution used by our automatic OCR module.

This application is based on this technology. Every user action - creating, deleting, modifying, reading, downloading - is recorded in a Kafka topic. This ensures that actions on documents can be traced.

The content of the logs is then exported to an Elasticsearch cluster for analysis via queries in Kibana.

Practical use cases

4 use cases: security, legal (& GDPR), operations, functional

Security

GDPR

Operations

Functional