AI agents are moving quickly from experimental tools into actual business systems, and that shift is creating a new security problem for companies that want automation without losing control of their data, applications or internal workflows.
NeuralTrust is positioning itself directly inside that emerging market. The AI security company has opened a new London office as UK businesses show growing interest in deploying autonomous AI agents across enterprise operations.
The move gives NeuralTrust a stronger physical presence in one of Europe’s most active technology and financial centres. It also reflects a broader change in the AI market. Companies are no longer asking only whether generative AI can write, summarise or analyse information. They are increasingly looking at systems that can access tools, interact with databases and perform tasks independently.
That creates a very different security challenge.
London Becomes NeuralTrust’s New UK Base
NeuralTrust’s new London office will serve as the company’s main base for expanding its UK operations, including customer relationships, partnerships and recruitment. The company has established the office at 167 Great Portland Street, giving it a central location from which to work more closely with businesses deploying AI across finance, technology and other enterprise sectors.
The UK has become an important market for AI adoption, particularly among organisations looking for ways to automate repetitive tasks and connect generative AI with existing business systems. NeuralTrust sees that growth as an opportunity, but also as a sign that companies will need more specialised safeguards as autonomous agents gain access to sensitive data and operational tools.
The London expansion also brings NeuralTrust physically closer to the organisations it hopes to support. Enterprise AI deployments often involve complicated security, compliance and integration requirements, particularly in heavily regulated industries. Having teams based in the same market could make it easier for NeuralTrust to work directly with customers as they move from early AI testing into more serious production deployments.
AI Agents Create a Different Kind of Security Problem
AI agents introduce risks that conventional cybersecurity systems were not necessarily designed to handle. Traditional security platforms usually focus on protecting users, devices, applications, networks and credentials. An autonomous agent can sit across several of those layers at the same time.
A business might give an AI agent permission to retrieve files, interact with internal databases, connect with software platforms or execute actions through APIs. Those capabilities can make the agent useful, but they also give it a much larger operational footprint.
If an attacker manipulates an agent, compromises one of its connected systems or exploits a weakness in the model’s instructions, the consequences can extend beyond an incorrect AI response. The agent could potentially expose sensitive information, trigger the wrong workflow or perform an action that the organisation never intended.
Prompt injection is one example of the problem. Malicious instructions can sometimes be hidden inside documents, websites or other content that an AI system processes. If an agent interprets those instructions as legitimate, it could be pushed into carrying out unauthorised behaviour.
That risk becomes more serious once AI is allowed to act rather than simply answer questions.
NeuralTrust Builds a Security Layer Around Agentic AI
NeuralTrust has built its platform around controlling how AI applications and autonomous agents interact with models, tools and enterprise systems. Rather than treating AI as another conventional software application, the company focuses on the behaviour of the models and agents themselves.
Its TrustGate product works as an AI gateway positioned between applications, models and connected services. Businesses can use it to control traffic, apply policies and create a central point of oversight across different AI systems.
TrustGuard adds protection while an AI application or agent is actually running. That matters because some risks only appear once the system begins processing live information and interacting with external tools. Monitoring runtime behaviour gives companies another opportunity to identify unusual activity before it becomes a larger security incident.
NeuralTrust also offers TrustTest, a red-teaming platform designed to probe AI systems for vulnerabilities. The idea is to expose weaknesses before attackers or malicious users find them.
Together, these products reflect a broader change in cybersecurity. Protecting AI is becoming less about securing one model and more about controlling the entire chain of interactions around it.
The Bigger Shift Is From AI Answers to AI Actions
The real significance of agentic AI is not that the technology can produce better answers. It is that businesses increasingly want AI systems capable of taking action.
A conventional generative AI assistant might summarise a report or draft an email. An agent could go further by retrieving the report from an internal database, analysing it, updating a customer record, generating a response and sending information to another application.
That is where enterprise AI becomes more powerful, but also more complicated.
Every system connected to an agent creates another potential point of failure. Every permission granted to the agent increases the range of actions it can take. Companies therefore need to understand not only what their AI systems know, but what those systems are allowed to do.
The difference sounds subtle until something goes wrong. A chatbot that produces a poor response might create confusion. An agent with access to payment systems, customer records or internal software could cause a much bigger problem.
As more companies experiment with autonomous workflows, security may become one of the biggest factors determining how quickly agentic AI moves into everyday business operations.
Governance Is Catching Up With Agentic AI
Security is only one part of the issue. Companies also need better visibility into the growing number of AI agents operating across their organisations.
Large businesses could eventually have hundreds or even thousands of AI-powered tools running across different departments. Some may be developed internally, while others could come from software providers or third-party services.
That creates a governance challenge. Security teams need to know which agents exist, who deployed them, what models they use, which tools they can access and how much authority they have.
Without that visibility, organisations risk creating an AI version of shadow IT, where employees or departments adopt tools faster than security teams can monitor them.
NeuralTrust has positioned its platform around this problem by helping organisations discover, monitor and control AI applications and agents across different environments.
For sectors such as finance, government, healthcare and energy, this level of oversight could become particularly important. Regulators and internal compliance teams may eventually expect businesses to demonstrate not only how their AI systems operate, but also who controls them and what safeguards are in place.
$20 Million Funding Is Fueling NeuralTrust’s Expansion
NeuralTrust’s London expansion follows a $20 million seed funding round announced in June 2026. The company has said the capital will support international growth, engineering development and deeper integrations across its AI security platform.
London now joins Barcelona and New York in NeuralTrust’s international footprint, giving the company a presence across Europe and North America as enterprise adoption of AI agents continues to accelerate.
The timing is important. Many businesses are still experimenting with agentic AI and working out how these systems fit into existing technology infrastructure. Security standards are developing at the same time, which gives newer companies an opportunity to establish themselves before the market becomes more mature.
NeuralTrust also plans to expand its UK workforce across engineering, sales and customer success. That suggests the London office is not simply a representative location but part of a broader push to establish long-term operations in the market.
AI Agent Security Is Becoming Its Own Market
Cybersecurity has a habit of creating new categories whenever computing changes direction. Cloud adoption created an enormous market for cloud security. The expansion of software-as-a-service drove demand for identity management, zero-trust platforms and access controls.
AI agents could be creating the next one.
The difference is that autonomous systems can interpret information and then decide what to do with it. That behaviour introduces risks that go beyond protecting stored data or controlling user access.
An enterprise may need to monitor whether an agent is behaving normally, whether it is attempting to access something outside its permissions or whether another system is trying to manipulate its instructions.
These challenges are starting to attract attention from cybersecurity companies, AI infrastructure providers and major cloud platforms. NeuralTrust is entering the market early, but it is unlikely to be alone for long.
As autonomous AI becomes more common, businesses may begin treating agent security as a dedicated layer of their technology stack rather than an extension of traditional cybersecurity.
Why NeuralTrust’s London Expansion Matters
NeuralTrust opening a London office is a corporate expansion story on the surface, but the more interesting part is what is driving it.
Businesses are giving AI systems more responsibility.
The first wave of generative AI mainly helped employees create content, search information and work faster. The next wave is beginning to connect AI directly with business processes.
That means the technology will increasingly touch customer records, internal databases, operational software and financial systems. Companies may gain significant productivity from those connections, but they will also need much stronger controls around what agents can see and what they can do.
The market could therefore shift from asking whether AI agents are capable enough to asking whether they are secure enough.
That is the space NeuralTrust is trying to occupy.
The demand for autonomous AI is growing quickly. So is the need to make sure those systems do not become another uncontrolled entry point into the enterprise.
Sources
BusinessMole — UK Businesses Rush to Secure AI Agents as NeuralTrust Launches New London Headquarters
https://www.businessmole.com/uk-businesses-rush-to-secure-ai-agents-as-neuraltrust-launches-new-london-headquarters/
NeuralTrust — NeuralTrust Opens New London Office as UK Enterprises Race to Secure Their AI Agents
https://neuraltrust.ai/news/neuraltrust-opens-new-london-office
NeuralTrust — AI and Agent Security Platform
https://neuraltrust.ai/
