In episode #64 of PodSpot, Jon Pittham is joined by Hank Lander, Group Product Manager at HubSpot, to discuss sensitive data management and AI governance in regulated industries.
The episode explores how HubSpot defines and categorises sensitive data, how firms can configure controls within the platform, and what enhanced auditing and visibility look like in practice. The discussion also covers integration considerations for organisations connecting HubSpot with core systems.
A key focus is AI. Hank explains HubSpot’s approach to zero data retention, the handling of sensitive properties within AI workflows, and how customers can align platform controls with their own risk appetite. The episode also touches on emerging capabilities designed to help firms identify and manage sensitive information more proactively.
This is a practical conversation for financial services and professional services leaders who want to balance innovation with strong governance, without compromising trust.
Key discussion points:
04:10 – What Is Sensitive Data?
10:05 – Standard vs Highly Sensitive Properties
16:05 – Audit Controls & Integrations
21:05 – Zero Data Retention and AI Model Transparency
29:10 – Roadmap Direction and Future Investment in Data Controls
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