Prevalent AI Raises $22M to Expand U.S. Presence

Prevalent AI announced it has raised $22 million in growth funding from Integrity Growth Partners to accelerate expansion in the United States, scale sales and marketing, and broaden its data fabric platform beyond cybersecurity.

The London-based company was founded in 2017 by executives previously at GCHQ and Darktrace and had been self-funded until the new round. The firm plans to use the capital to grow its U.S. operations, make senior hires, expand customer-facing teams, and add product capabilities for wider enterprise use.

Prevalent AI provides a data fabric that turns fragmented enterprise security data into a unified knowledge graph. The platform continuously cleans, links and adds context to information from multiple systems so security teams and automated tools can see relationships across an organization. It also monitors for risks, highlights gaps in controls and can trigger remediation actions to address those gaps.

The company initially concentrated on security use cases, saying fragmented data increases cyber risk. It now intends to apply the same data fabric approach to other enterprise functions where connected context is needed.

Integrity Growth Partners led the investment as part of a growth-stage round that moves Prevalent AI from a self-funded model to external backing. The company characterized the funding as support for scaling deployments in North America, accelerating product development and expanding its executive team to serve larger enterprise customers.

Paul Stokes, co-founder and CEO, noted: “Large enterprises do not have a shortage of tools or data. They have a shortage of context. For almost a decade, we have been using AI to continuously clean, connect, and contextualize enterprise data so organizations can see what exists, what is working, where the gaps are, and what needs attention. We started with security because that is where fragmented data does the most damage.”

Prevalent AI said the investment comes as more companies adopt AI and automated agents, which increases the need for accurate, connected data to manage risk and maintain control.