A lot of these free chatbot models — it's essentially a public forum. You lose complete control once you put data into that chat.
Pinar Ozer
Associate General Counsel, Data Products and Privacy at Rippling
Data security when using AI in finance
Watch OpenAI's former controller Sowmya Ranganathan and Rippling's privacy counsel Pinar Ozer break down exactly what data is safe to share with AI tools—and how to build guardrails your whole finance team can follow.
Finance teams sit on some of the most sensitive data in a company — customer contracts, vendor terms, employee PII, board materials, product roadmaps. The pressure to move faster with AI is real. The risk of pasting the wrong thing into ChatGPT is also real. Most teams are figuring this out as they go.
In this on-demand session, Sowmya Ranganathan (founder of Lumera, former controller at OpenAI and Rippling) and Pinar Ozer (Rippling's Associate General Counsel for Data Products and Privacy) walk through exactly how to think about data, AI, and risk — from the contracts your legal team should be checking to the practical workflows that let your team move fast without leaking anything.
If your team is already using AI tools (or about to start) this is the session to watch before anything sensitive gets pasted into a prompt.
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