This article covers Prevalent AI, a cybersecurity startup, which has raised £16m in a growth funding round led by Integrity Growth Partners to scale its go-to-market organisation, expand into the United States and broaden its platform into enterprise risk use cases. The funding will support international expansion, senior hires and the development of its data fabric to provide unified, contextualised enterprise data for security and risk teams.
Prevalent AI, a cybersecurity startup, has raised £16 million in a growth funding round led by Integrity Growth Partners to scale its go-to-market organisation, expand into the United States, and extend its platform beyond cybersecurity into broader enterprise risk use cases. The capital will also support new leadership hires as the company moves from a profitable, privately funded phase into an accelerated growth posture.
Large organisations routinely run thousands of systems, controls, identities and data sources that were not designed to work together. That fragmentation leaves security and risk teams with volumes of data but limited context to turn it into actionable decisions. Prevalent AI’s funding is notable because it backs a company that claims to create that missing context, and comes at a time when industry forecasts underline the stakes: Gartner expects enterprises to spend an estimated $240 billion on information security in 2026 and warns that more than 40% of agentic AI projects may be cancelled by the end of 2027 due to rising costs and inadequate risk controls.
For UK cybersecurity startups, the deal highlights a path from profitable early commercial traction to externally backed international expansion.
Prevalent AI’s core product is a data fabric that ingests hundreds of fragmented enterprise data sources and consolidates them into a continuously updated sovereign knowledge graph. That graph is intended to provide a single source of context so people and AI systems can see what exists across an organisation, how items relate, and where operational gaps remain.
The company pairs the platform with a managed service to reduce time to value and accelerate enterprise-wide adoption, and it initially focused on cybersecurity because fragmented data is particularly damaging in that area. The new funding is explicitly intended to broaden use cases into wider enterprise risk functions where decision-making depends on connected, trusted data.
Integrity Growth Partners is the announced investor behind the £16 million raise. The firm will work alongside Prevalent AI’s leadership as the commercial organisation scales, supporting the planned US expansion and additions to the executive team.
In the announcement, Ryan Anderson, Managing Partner at Integrity Growth Partners, said:
Paul, Arun, and the team have built something rare: genuinely differentiated, AI-native technology that the most sophisticated enterprises in the world rely on, all while maintaining remarkable capital discipline. As enterprise security stacks grow more complex and agentic AI raises the stakes on data quality and depth, the need for Prevalent AI's unified, context-driven foundation will only intensify. We have deep respect for what the founding team has built, patiently and with real substance, and we are proud to partner with them as they lead the company into its next stage of growth.
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In the announcement, Paul Stokes, Co-founder & CEO at Prevalent AI, said:
Large enterprises do not have a shortage of tools or data. They have a shortage of context. Security teams are being asked to make decisions across thousands of systems, controls, identities, and data sources that were never designed to work together. For almost a decade, we have been using AI to continuously clean, connect, and contextualise enterprise data so organisations 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. The investment from Integrity Growth Partners allows us to scale our business beyond cybersecurity into every enterprise function where decisions depend on connected, trusted data.
Founded in 2017 by Stokes and Arun Raj, Prevalent AI counts people with intelligence‑community heritage among its team, including former Director of GCHQ Sir Iain Lobban and Andrew France, former Deputy Director for Cyber Defence Operations at GCHQ. The business says it grew for nearly a decade without external growth capital, has been profitable since its first customer, and that annual recurring revenue has more than doubled over the past 12 months. Recent senior hires include Stuart Barnard as chief financial officer and Mike East as SVP of global sales.
The round underscores two broader trends in the UK and European tech ecosystem. First, investors continue to back companies that combine AI with enterprise data infrastructure rather than purely point solutions. Second, profitable, founder-led businesses are increasingly using growth capital to accelerate geographic expansion—particularly to the US—rather than to cover early operating losses.
As organisations wrestle with mounting cybersecurity complexity and the operational risks of agentic AI projects, tools that create trusted, connected enterprise context are likely to attract interest from cybersecurity investors and enterprise IT teams alike. Prevalent AI’s move to broaden its remit beyond security will be one to watch as it scales internationally.
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