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When a tech vendor wants to sell into a large enterprise — or when that enterprise wants to buy software from a tech vendor or AI model provider — each side may be required by the other to prove they will handle shared data responsibly in the form of mandatory surveys and questionnaires.
Regulations such as GDPR, the soon-to-be effected EU AI Act and a patchwork of U.S. state laws make those proofs more complex each year.
As a consequence, a tech vendor trying to sell to a large enterprise will usually be asked to complete security questionnaires that can stall deals for weeks and cost six figures in staff time.
San-Francisco-based SecurityPal was founded in March 2020 by CEO Pukar Hamal to handle all that paperwork largely automatically on behalf of the vendor, using the vendor’s unique product information and internal data.
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SecurityPal combines an AI engine with a 240-person analyst team in Kathmandu, Nepal, to draft, verify and package the answers vendors and buyers need.
“It’s like Palantir for security reviews — expert humans and AI working together to accelerate enterprise security assessments,” Hamal said on a recent exclusive video call with VentureBeat.
Hamal labels the category “security assurance”: a workflow that sits between traditional compliance software and the sales-ops stack.
The company just announced a fleet of updates in its Q2 blog post this week, including smarter fallback responses from its AI Copilot, a fully brandable White Label Package for Trust Centers, and a new Custom HTML Block for embedding rich media in assurance profile, all geared toward making its AI interactions more professional and informative, even when data is limited.
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