Prevalent AI Raises $22M to Scale Enterprise Data Fabric Platform

London-based AI-powered data fabric company Prevalent AI has secured $22 million in growth funding from Integrity Growth Partners (IGP), marking its first major capital injection after operating on a bootstrapped basis since its 2017 founding. The company, launched by former GCHQ and Darktrace leaders, has built a data fabric platform that transforms fragmented enterprise data into a unified knowledge graph designed for both security teams and AI agents. The platform continuously cleans, connects, and contextualizes security data across enterprise environments, automatically identifying and remediating risks while enabling organizations to securely deploy and operate AI agents. For security teams trying to understand sprawling attack surfaces, the platform provides a comprehensive view of distributed data, its interrelationships, and operational gaps—something especially critical as organizations adopt AI at scale. Security professionals can complement this enterprise-level visibility with our free port scanner to quickly audit exposed services across their own environments.

The funding will be directed toward accelerating Prevalent AI's US expansion, scaling go-to-market operations, extending the platform beyond cybersecurity use cases, and deepening its leadership team. "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," said co-founder and CEO Paul Stokes. "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."

Prevalent AI's approach addresses a growing pain point in modern security operations: the inability to correlate signals across siloed tools, cloud platforms, and identity systems. As enterprises increasingly rely on AI agents to automate detection and response, the integrity of the underlying data becomes paramount. Inaccurate or fragmented data can lead to blind spots, false positives, and missed threats—issues that adversaries are quick to exploit. Organizations looking to evaluate their own digital exposure can start with our SSL/TLS checker to verify certificate health across their public-facing assets.

The round places Prevalent AI among a growing cohort of startups building data infrastructure tailored for AI-native security operations. As AI adoption accelerates, the need for trustworthy, contextualized data feeds—whether for human analysts or autonomous agents—has become a board-level concern. With this injection of capital, Prevalent AI is positioning itself to become foundational infrastructure for enterprises seeking to operationalize AI securely across complex, hybrid environments.