The AI in Business Podcast Why Granular Visibility and Data Control Determines AI Success in Financial Services - with Chris Joynt of Securiti
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Dec 15, 2025 In this discussion, Chris Joynt, Director of Product Marketing at Securiti, sheds light on the critical role of data trust in AI for financial services. He explains the urgent need for organizations to modernize their data architectures to tackle challenges posed by unstructured data. Chris shares practical workflows for effective data governance, including mapping data flows and detecting shadow AI. He emphasizes that strong governance not only reduces risks but also enhances ROI by facilitating swift and reliable AI deployment.
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Higher Stakes For Data Trust In Finance
- Financial services have higher stakes for data trust because their product is trust and they hold highly sensitive data.
- This makes AI adoption riskier due to regulatory complexity and attractive attack surface for cyber threats.
Unstructured Data Becomes The Core Challenge
- Gen AI shifts the problem to unstructured data, which can be 80–90% of an enterprise's data volume.
- This expansion demands far finer-grained visibility and control than legacy structured-data ML systems required.
Customer With Massive Data Scale
- A Securiti customer manages over 200,000 data systems and produces a petabyte of logs per day.
- This scale illustrates why manual approaches to classifying and governing unstructured data are infeasible.