Co-Founder & CEO/President
Profile summary: BA in Political Science at University of California, Berkeley

Veyrdune provides an AI‑driven risk decisioning platform that continuously ingests real‑world security data to generate real‑time, quantified exposure scores and explainable remediation recommendations. By translating raw cyber posture into clear, financially‑linked risk metrics, it helps MSPs, insurers, enterprises, and government agencies reduce uncertainty, lower costs, and make faster, data‑driven decisions.
Organizations often rely on static, incomplete data to assess cyber and data risk, leading to uncertain decisions, delayed remediation, and misaligned insurance underwriting. This gap makes it difficult to quantify exposure, prioritize actions, and demonstrate measurable risk reduction to stakeholders.
Veyrdune offers an AI-driven risk decisioning platform that continuously ingests real-world security data and applies advanced reasoning to produce precise, quantified exposure metrics. The platform translates raw security posture into clear, actionable insights, enabling faster, data‑driven decisions across cybersecurity, insurance, enterprise, and government contexts. Insights are presented with transparent explanations, allowing users to understand the drivers behind risk scores and remediation recommendations. By linking risk metrics to financial and operational impact, Veyrdune helps organizations lower uncertainty, reduce costs, and improve outcomes at scale. The solution integrates with existing security tools and workflows, delivering risk intelligence directly where it is needed.
Primary customers include managed service providers (MSPs/MSSPs), cyber insurance brokers and carriers, large enterprises seeking to manage cyber exposure, and government agencies responsible for compliance and mission resilience.