RootCauseAI for FinTech
AI incident investigation for financial services
Find the cause of payment, banking and reporting incidents faster, without customer data leaving your network.
Incidents it investigates
Payment failures
Failed transactions, gateway timeouts and reconciliation breaks traced across the stack.
Trading platform issues
Orders, market data and recent releases correlated in one place.
Core banking errors
Batch failures and balance discrepancies traced to the query or job behind them.
Regulatory reporting failures
Why a report to APRA, ASIC or the ATO failed, traced back to source data.
Designed for regulated environments
Stays in your network
Self-hosted, with local models for full isolation.
Read-only, fully logged
Cannot change data. Every query recorded for audit.
Masking built in
Personal and card data masked before analysis.
Review-ready
Architecture, data flow and access documentation for your security and risk teams.
Systems we work with
We connect to the platforms you already run. You keep your licences and your data.
- Jira
- ServiceNow
- GitHub
- GitLab
- SQL databases
- MySQL
- MongoDB
- Splunk
- Elasticsearch
Why self-hosted matters here
APRA's CPS 234 sets information security expectations for regulated entities. RootCauseAI keeps investigation inside your boundary, so your risk team assesses one system you control.
- Our own product, built in Australia
- Your infrastructure, your access rules
- Human engineers make every fix
Questions
Is RootCauseAI certified for APRA CPS 234?
No product makes you compliant on its own. RootCauseAI runs inside your boundary with logging and access controls, and we provide architecture, data flow and access documentation for your own CPS 234 assessment.
How is customer and card data protected during an AI investigation?
You define masking patterns for personal and card data, and they are applied before any AI analysis runs. Database access is read-only and limited to the systems you allow, and every query is logged, so customer records are never changed or exposed in results.
Can AI trace a failed APRA, ASIC or ATO report back to its source?
Yes. RootCauseAI follows a failed or rejected regulatory submission back through the reporting job, the queries behind it and recent code changes to the source data that caused it, then shows the evidence so your team can fix and resubmit.
Related
- Incident investigation that stays in your networkDescribe the incident. RootCauseAI searches your code, logs, tickets and databases, then shows the likely cause and its evidence.
- Financial servicesControls, reporting and reconciliations.
- RootCauseAIOur own AI investigation tool, run inside your boundary.
- SecurityYour data stays in your environment.
Walk your risk team through it
We will show the architecture and a sample investigation.
Fixed-fee phases, agreed before we start. Stop after any phase.