AI-enabled fraud raises the value of real-time verification and audit trails, supporting durable demand for embedded identity decisions. Upside requires multi-vertical expansion while navigating privacy rules and incumbent bundling.

As AI makes scams cheaper and faster, enterprises shift spend from manual review to real-time, auditable identity decisions; RDVT can compound a high-margin identity graph into embedded trust APIs and privacy-safe signal products while staying asset-light and using buybacks to amplify per-share value by 2030.

RDVT sells “trust under attack” (identity + fraud signals) where AI offense outpaces humans; value moves to verification, auditability, and workflow embedding.

RDVT is already scaling with strong cash generation and high gross margins, and its data+workflow position is strengthened as AI increases fraud frequency and forces enterprises to automate trust decisions. The non-linear upside comes from embedding identity intelligence into third-party workflows (platform connectors, agent-facing interfaces) and adding privacy-safe network signals that improve accuracy and switching costs. Multiple risk remains (small-cap liquidity and bundling by incumbents), but durable retention and expanding use cases support a still-premium revenue multiple into 2030.

The business works, but the equity outcome is most sensitive to (1) privacy/data-access policy shocks, (2) incumbent bundling that reframes pricing power, and (3) concentration (major data supplier economics and the REALTOR-association channel). Premium valuation and thin liquidity can magnify drawdowns on any deceleration.

$68.50