What’s new in MindBridge
The May 2026 release introduces several new capabilities designed to enhance audit planning, improve transaction analysis workflows, and provide users with greater flexibility and transparency when working with financial data.
Functional capabilities
- Subledger analysis
- Risk assertion v2
- Monetary flow dashboard
- Enhanced periodic analysis
- Editing duplicate transaction control points at the engagement level
- Data manifest report
Platform updates
Subledger analysis
Subledger analysis is a dedicated workflow that enables audit teams to analyze subledger and general ledger data within a more connected MindBridge experience..
This new analysis type provides an audit-focused experience for reviewing subledger activity, identifying risk patterns, and investigating transaction-level details. Users can review dashboards, analyze trends, segment risk, and export results to support audit procedures.
By bringing subledger analysis into the same experience as general ledger analysis within MindBridge, teams can reduce reliance on separate tools and maintain a more consistent workflow across general ledger and subledger analysis.
This feature is not enabled by default and can be requested through your Customer Success Manager.
Read more about Subledger analysis here.
Risk assertion v2
Risk assertion v2 enhances the Audit assertion risk experience by improving how auditors evaluate risk at the account and assertion level using transaction-level data.
This feature connects control point results to audit assertions, enabling users to address which account/assertion pair may require further attention and understand the underlying factors contributing to that risk. By providing a structured and explainable view of risk, Risk assertion v2 supports a more consistent and data-informed risk assesment.
Users can review assertion-level risk scores, explore the contributing transaction patterns, and use these insights to guide risk assessment and documentation. The scores are intended to inform auditor judgment, not replace it. This helps teams move beyond relying primarily on prior-year conclusions and instead incorporate current-year data into their risk assessment process.
This feature is not enabled by default and can be requested through your Customer Success Manager.
Read more about the Audit assertion risk dashboard here.
Monetary flow dashboard
The monetary flow dashboard provides a new way for users to explore how value moves between accounts within general ledger transactions.
The dashboard provides visibility into source-to-destination account relationships, helping users better understand transaction behavior, investigate unusual activity, and review risk exposure across account flows. Users can analyze aggregated monetary flow activity, review risk breakdowns, and drill into the underlying entries supporting each flow.
This feature improves transparency into transaction patterns and gives users additional context when reviewing risk scores and investigating complex transactions.
This feature is not enabled by default and can be requested through your Customer Success Manager.
Read more about the monetary flow dashboard here.
Enhanced periodic analysis
Enhanced periodic analysis improves how recurring analyses are processed by allowing users to score only new or updated data instead of rescoring the entire analysis period.
When enabled, previously scored entries and historical results remain unchanged, while only newly added or modified rows are processed during subsequent runs. This helps reduce runtime and processing costs for recurring analyses while improving scalability for large data populations and enterprise workflows.
The feature also improves auditability by preserving historical results that have already been reviewed and assessed.
Read more about Enhanced periodic analysis here.
Editing duplicate transaction control points at the engagement level
MindBridge now allows users to edit duplicate transaction control point columns directly at the engagement level.
This enhancement gives users more flexibility when configuring duplicate transaction analysis for a specific engagement. Users can add additional mapped columns to better reflect the structure and characteristics of the uploaded general ledger data without requiring library-level configuration changes.
Read more about editing duplicate transaction control points at the engagement level here.
Data manifest report
MindBridge now provides a downloadable data manifest report during analysis creation to help users understand the required structure and formatting of uploaded data files.
The report dynamically reflects the configuration of the selected analysis and provides guidance for each required file and column, including whether fields are required, expected data types, and supported mapping alternatives.
This enhancement helps reduce confusion during data ingestion and makes it easier for users to prepare and share data requirements with teams responsible for generating source files.
Read more about the data manifest report here.
Control point bundle updates
The May 2026 release includes updates to control points available in general ledger analyses, introducing performance and scalability improvements across the MindBridge platform.
This release includes upgraded GPU infrastructure and optimized data storage, improving analysis and data ingestion performance for large datasets. It also introduces new custom, account-scoped control points that can be configured at the library level and applied across both MindBridge and Custom Risk Scores.
There are no material changes to risk scores, and existing engagements will not be affected. Updates apply only to new engagements created after the May 2026 release.
Read more about control point bundle updates here.