Hebbia secure AI for regulated industries
Danny Wheller, VP of Business & Strategy at Hebbia, on vertical vs horizontal enterprise AI
This reveals that Hebbia was built to win security reviews before it tried to win workflow adoption. In finance, legal, and government, an AI tool is dead on arrival if it cannot plug into company identity systems, preserve document permissions, log who did what, and keep private data out of model training. Hebbia’s pitch combines those controls with deeper document analysis, which lets it sell into high stakes research and diligence work instead of lightweight chat pilots.
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The concrete controls matter because Hebbia is used on sensitive workflows like diligence, contract analysis, memo writing, and research over SharePoint, CRM, and data room documents. In that setting, SSO, RBAC, audit logs, and zero data retention are not nice to have features, they are the minimum needed to get approved by CIO, security, and compliance teams.
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This is also part of how Hebbia separates from horizontal search players like Glean. Glean is often used for broad enterprise search, while Hebbia is brought in when a small set of higher paid users need to actually do work over the documents they find, like running diligence or generating pitchbooks, where precision, permissioning, and traceability matter more than broad seat expansion.
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The same security posture extends to deployment and model choice. Hebbia has emphasized secure use of open and closed models, no retention of customer data by outside model providers, and newer single tenancy deployment options for the most security conscious firms. That makes the product easier to adopt in regulated institutions that want AI capability without sending sensitive work into a black box.
Going forward, enterprise AI buying will keep shifting from demo quality to production readiness. Vendors that can pass security review, preserve permissions, and produce auditable outputs will be the ones that expand from pilot users into system of record workflows. That favors platforms like Hebbia that treated enterprise controls as core product infrastructure from the start.