Mendix announced the release of the Advanced Audit Trail (AAT), its comprehensive solution for auditing changes in data in an organization’s Mendix applications. Any organization, particularly those in regulated industries, must maintain comprehensive audit trails to adhere to compliance standards. Mendix AAT complies with “good practice” quality guides and regulations (GxP) and FDA 21 CFR Part 11.  

Key features

The Mendix AAT provides deep integration into Mendix out-of-the-box. It captures data changes, contextual metadata, and other features, including username and password scrambling, efficient handling of bulk changes, and standard overview screens. 

• Comprehensive tracking: Track the who, what, when, and how of every data change, providing critical contextual metadata on each action. 
• Completeness and integrity: Maintain integrity and ensure no data loss, even in disaster scenarios. Data is stored in an external, immutable database and safeguarded against unauthorized modifications. 
• Configurable auditing: Change the duration for which audit records are kept (including indefinitely), supporting long-term compliance requirements. 
• Searchability: Enhance efficiency with searchable audit trails, including criteria such as app name, entity name, user, timestamp, or microflow. 
• Security and scalability: Keep audit data in a secure, scalable solution. Data is stored in a separate backend landscape and fully indexed for efficient search, meeting demands for regulated industries. 

Compliance and convenience

Build GxP-compliant applications that enable rigorous data audits and meet regulatory requirements. AAT allows organizations to maintain regulatory compliance, providing peace of mind during audits. 

Check out the Advanced Audit Trail on the Mendix Marketplace for more information. 

About Mendix

Mendix is a leading low-code agentic development platform. For industrial organizations, Mendix’s full capabilities are delivered as part of Intelligence Center X, Siemens’ agentic enterprise system — turning industrial AI into measurable outcomes with shared context, orchestration, agentic development and governance.