Prevalent AI has announced a $22 million growth funding round led by Integrity Growth Partners (IGP). The investment is intended to help the London-based company scale its go-to-market efforts, accelerate expansion in the United States, and further develop its core technology: a data fabric platform built to turn scattered enterprise information into something security teams can actually use.
Founded in 2017 by former GCHQ and Darktrace leaders, Prevalent AI has operated with bootstrapped backing up until now. With this fresh capital, the company says it will expand its leadership team and extend the platform beyond its current focus on cybersecurity.
Why a data fabric platform matters in security
Enterprise organizations often collect security-related data from many different systems. The problem is that this data is frequently fragmented—stored in separate places, described in inconsistent ways, and not designed to work together.
According to Prevalent AI, that fragmentation creates a practical risk: when information is disconnected, it’s harder for security teams to build context. And in environments where AI adoption is accelerating, the consequences can compound, because AI agents and automated workflows still need reliable, connected signals to act confidently.
From fragmented data to a knowledge graph
At the center of Prevalent AI’s offering is its data fabric platform. The platform is designed to clean, connect, and contextualize enterprise security data, so teams can understand what exists across their environments and how pieces relate to one another.
Instead of leaving data as isolated records, the platform transforms it into a knowledge graph. In practice, this means security teams can gain context, clarity, and control—key ingredients for better decision-making and faster remediation.
Continuous risk identification and remediation
Prevalent AI positions its approach as ongoing, not one-time. The platform continuously identifies risks and supports remediation actions as conditions change across enterprise systems.
That “continuous” element is important because security environments rarely stay still. Controls evolve, identities update, and data sources shift. By keeping the data fabric current, organizations can better track where operational gaps exist and which areas need attention.
More visibility into data relationships and gaps
A major promise of the data fabric platform is comprehensive visibility. Prevalent AI says the platform provides organizations with an overview of the data that exists in their environments, how different pieces connect, and where operational gaps may be present.
For security leaders, this can reduce uncertainty. When teams understand how systems, controls, identities, and data sources relate, it becomes easier to prioritize work and explain why a particular issue matters.
Enabling secure deployment of AI agents
As organizations move from experimentation to actual deployment of AI agents, the quality of the underlying data becomes critical. Prevalent AI states that its platform enables organizations to securely deploy and operate AI agents by ensuring the information those agents rely on is cleaned, connected, and contextualized.
In other words, the data fabric platform acts like a connective layer. It helps bridge the gap between raw enterprise data and the context an AI agent needs to operate safely.
Investment plans: U.S. expansion and platform extension
The $22 million growth funding round will support multiple growth priorities.
- Accelerating U.S. expansion to broaden adoption across the region.
- Scaling go-to-market efforts to reach more security teams that are dealing with fragmented data.
- Extending the platform beyond cybersecurity, reflecting the company’s belief that the same data-context problem exists in other enterprise domains.
- Deepening its leadership team to support product and commercial scaling.
This direction signals that while Prevalent AI started with security—where fragmented data can cause significant damage—the underlying technology may be applicable to broader enterprise workflows.
Leadership perspective on context, not tools
In explaining the company’s mission, Prevalent AI co-founder and CEO Paul Stokes highlighted an uncomfortable reality for large enterprises. He argues that big organizations often don’t suffer from a shortage of tools or data; rather, they struggle with context.
Stokes also emphasized the challenge of decision-making across thousands of systems, controls, identities, and data sources that were never built to operate together. The result is complexity that slows investigations and makes it harder to connect signals into actionable conclusions.
How the approach supports better operational decisions
Prevalent AI’s message is focused on practical outcomes: teams should be able to see what exists, what is working, where gaps are, and what needs attention. The knowledge graph and continuous contextualization are meant to support those goals.
For organizations, improved context can help reduce duplicated effort and lower the chances of overlooking risks hidden behind disconnected datasets. It can also strengthen alignment between security teams and the AI-driven systems increasingly used to handle tasks at scale.
What this means for enterprise AI adoption
AI adoption is accelerating, but safe adoption depends on reliable inputs. Prevalent AI’s data fabric platform is aimed at addressing a key bottleneck: fragmented enterprise data. By organizing information into connected, contextual structures, the platform helps create a foundation that security teams and AI agents can use to make better decisions.
With this round of funding, the company is likely to invest in product development and commercial execution. Its plan to extend beyond cybersecurity may also attract organizations outside the traditional security perimeter that face similar “disconnected data” problems.
Conclusion
Prevalent AI’s $22 million funding round underscores growing demand for infrastructure that can unify enterprise data into meaningful context. Its data fabric platform connects and contextualizes fragmented security information into a knowledge graph, supports continuous risk identification and remediation, and helps organizations deploy AI agents securely.
As Prevalent AI scales its U.S. presence and extends its platform beyond cybersecurity, the company’s central claim remains clear: enterprises don’t just need more data or more tools—they need a way to understand how everything relates.
Source: https://www.securityweek.com/prevalent-ai-raises-22-million-to-expand-data-fabric-platform/
