- NeuralTrust has successfully closed a $20 million seed round, marking the largest of its kind for a cybersecurity firm in the European Union.
- The platform provides a critical infrastructure layer to manage, monitor, and protect autonomous AI agents within large enterprises.
- Funding will be directed toward expanding the engineering team and accelerating growth across European markets, including the UK and Germany.
- Major blue-chip companies like Iberia, Banc Sabadell, and Air Europa are already utilizing the technology to govern their AI deployments.
NeuralTrust just made some serious waves in the tech world by securing a $20 million seed funding round, which is actually a record-breaker for any cybersecurity startup based in the EU. The timing couldn’t be better, as more and more companies are moving away from just playing around with AI and are starting to put autonomous systems into actual production. This massive injection of capital is going to help the team beef up their engineering capabilities and spread their wings further across the European market.
Leading the investment is the Munich-based Alstin Capital, with a whole bunch of other heavy hitters like Seaya, Kibo Ventures, and VentureFriends jumping on board too. It’s not just private money either; they’ve got the backing of the European Innovation Council and Spain’s State Research Agency, showing that there’s a real strategic interest in making sure AI doesn’t become a security nightmare. The founders, who have roots in companies like Amazon and McKinsey, clearly saw the gap in the market before everyone else did.
Addressing the Governance Gap in Autonomous AI
Right now, companies are adopting AI agents faster than they can figure out how to control them. Industry experts are already warning that if governance doesn’t catch up soon, a huge chunk of these autonomous systems will have to be pulled offline because of security slips. By 2028, some of the biggest companies in the world could be running hundreds of thousands of individual agents, and frankly, very few organizations feel like they have a handle on that kind of scale.
Inside a big corporation, these agents tend to pop up all over the place, from customer service bots to automated back-office tools. The problem is that security teams often have no idea how many agents are running or what permissions they actually have. NeuralTrust steps in to provide a single place to see everything, making it way easier to stop an agent if it starts leaking data or doing things it definitely shouldn’t be doing.
A Triple-Threat Defense for Modern Enterprises
To keep things locked down, the platform relies on three main tools: TrustGate, TrustGuard, and TrustLens. These work together to act as a centralized control point for every single call made to a large language model. By sitting right in the middle of the traffic, the system can spot malicious attempts to hijack tools or bypass safety rules in real-time. It’s pretty impressive when you consider they’re already inspecting millions of interactions every day.
Statistics show that about 1.2% of all agent activities are actually malicious, involving attempts to force an agent to break its own programming. Because the platform’s three components are deeply integrated with each other, they eliminate the blind spots that usually happen when companies try to stitch together different security products. This unified approach is exactly why big names like Iberia, Abanca, and Air Europa have already signed on as customers.
Scaling Engineering and Global Market Presence
With offices in Barcelona and London, the company is looking to double down on its technological lead. The new funds are earmarked for growing the engineering workforce and expanding their support for different AI models and platforms. They’ve already doubled their recurring revenue in the first part of 2026 compared to the previous year, which shows just how much demand there is for this kind of specialized protection.
Beyond just building a product, the team is also heavily involved in the research side of things, discovering new types of attacks like multimodal “Semantic Chaining.” These findings have even been added to global security standards like the OWASP AI project. As they look toward 2027, the goal is to become the go-to infrastructure layer that every large company uses to make sure their AI operations stay safe and measurable.
The shift toward autonomous operations means that protecting AI agents is quickly becoming a major security category, similar to how we think about cloud or endpoint security today. By establishing a robust and governable framework, organizations can finally move past the experimental phase and fully integrate AI into their core business without the constant fear of unmanaged risks or operational failures.
