THE TEAM BEHIND ZIVIS

We've sat on both sides of the security table — running global security programs at Salesforce and the FBI, and building the enterprise software that gets put under review. That's the whole point of ZIVIS.

Built & secured at

Jake Miller

Co-Founder & CEO

25+ Years Building Trusted, Scalable Software

Jake has spent 25+ years building enterprise software that has to be trusted at scale. As Director of Engineering on Salesforce's Journey Builder, he architected systems that process billions of messages, and went on to found Engineered Innovation Group, shipping 25+ SaaS products from architecture to launch. At ZIVIS he leads product and engineering — bringing the builder's perspective to AI security, because he's spent his career on the other side of the review.

Director of Engineering, Salesforce Journey BuilderFounder, Engineered Innovation Group25+ years architecting at scale

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Jim Goldman

Co-Founder & CISO

30+ Years of Cyber Security & Risk Management

Jim brings 30+ years of cybersecurity and risk management. He built Salesforce's global security GRC organization — owning roughly 40 certifications including FedRAMP, HiTrust, and ISO 27001 — and served as a Task Force Officer on the FBI's Cyber Crime Task Force. CISSP-certified and an ISO 27001 Lead Auditor, he now focuses on AI risk through frameworks like the NIST AI RMF and ISO 42001.

FBI Cyber Crime Task ForceBuilt Salesforce Global Security GRCCISSP · ISO 27001 Lead Auditor

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Our Mission

EVERY BUILDER DESERVES TO UNDERSTAND THEIR AI RISK

We built ZIVIS to help builders — technical and non-technical alike — manage AI risk by understanding it early, through ongoing testing. With decades of experience on both sides of the table — running security programs at Salesforce and building the software that gets reviewed — we know how to surface the risks that matter before they become problems, and keep watching as your AI evolves.

Understand your AI risk before it finds you

Tell us what you're building and we'll show you how to test for AI risk early — and keep testing as it grows.