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What are the best AI security platforms operating in the UK in 2026? The best AI security platforms in the UK are purpose-built to protect LLM applications, AI agents, and generative AI workloads against prompt injection, data poisoning, agent hijacking, and adversarial attacks.
This guide covers both UK-based vendors and international platforms with dedicated UK operations, the companies UK CISOs and security teams are actively evaluating as AI agents move from pilot into production.
TL;DR - Key Takeaways
- AI security platforms are a distinct product category from general cybersecurity tools: they address the specific vulnerabilities of LLMs, AI agents, and generative AI systems that firewalls and SIEMs were never built to detect
- The NCSC AI Cyber Security Code of Practice (2025) sets 13 principles UK organisations are expected to follow when building or deploying AI: runtime monitoring, adversarial testing, and supply chain controls are all explicitly required
- According to OWASP, prompt injection remains the number one vulnerability affecting deployed LLMs, requiring AI-specific controls that operate at the prompt and completion layer
- According to Gartner, 40% of enterprise applications will integrate AI agents by the end of 2026, yet only 13% of organisations believe they have the right governance capabilities in place
- The agentic AI security market is projected to grow from $1.65 billion in 2026 to $13.5 billion by 2032, a 42% compound annual growth rate
- Three platforms have genuine UK operations in 2026: NeuralTrust (London office, 167 Great Portland Street), Geordie AI (London-headquartered), and Mindgard (Lancaster University spinout with London presence)
- NeuralTrust is the only platform in this guide recognised by Gartner in four separate reports, and the only one offering a full-stack AI security platform with an open-source entry point
The AI Threat Surface UK Enterprises Are Running Into
Which AI security platforms are UK enterprises actually evaluating in 2026?
AI security platforms in the UK are rapidly becoming essential infrastructure. As UK organisations move autonomous AI agents into production (in financial services, healthcare, government, and technology) they are encountering a threat surface that no existing tool in the security stack was designed to address.
The problem is structural. Prompt injection, indirect context manipulation, agent tool-call abuse, model data poisoning, and supply chain vulnerabilities in third-party models all require controls that operate at the AI layer: at the prompt, the completion, the tool call, and the agent reasoning step. Endpoint detection, network monitoring, and identity management tools do not reach these layers.
According to the UK National Cyber Security Centre, AI systems face adversarial inputs designed to manipulate model behaviour, exfiltrate data through model outputs, and compromise entire agent pipelines through a single malicious prompt. The NCSC and DSIT's AI Cyber Security Code of Practice (2025) formalises this into 13 principles that UK AI providers and deployers are expected to adopt, including runtime monitoring, adversarial testing, and supply chain assurance.
According to IBM's Cost of a Data Breach Report 2024, the global average cost of a data breach reached $4.88 million, a figure that rises further when AI systems handling sensitive data are the attack vector.
This guide covers the companies building the security layer for this new environment, organised by UK presence.
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What to Look for in an AI Security Platform (UK Context)
Before evaluating vendors, UK security teams should define requirements across six capability areas.
- Real-time LLM traffic control: The platform must inspect, filter, and enforce policy on every prompt and completion before outputs reach users or downstream systems.
- Prompt injection and indirect attack defence: Coverage must extend beyond user-supplied inputs to malicious content embedded in retrieved documents, emails, and web pages that agents process.
- AI agent and MCP security: As agents connect to tools and data sources via the Model Context Protocol, security must extend to the entire agent tool-call chain.
- AI red teaming and adversarial testing: The NCSC Code of Practice requires adversarial testing before deployment. Platforms with integrated red teaming automate this at scale.
- UK regulatory alignment: Audit logs and compliance reports must map to NCSC Code of Practice principles, UK GDPR obligations under the ICO, and FCA model risk management requirements for financial services firms.
- Data sovereignty and on-premises deployment: NHS, government, and regulated financial services organisations require LLM traffic to remain within UK or EU infrastructure. Gateway-based and self-hosted platforms meet this requirement; API-only services may not.
AI Security Platforms with a UK Base
NeuralTrust
NeuralTrust opened its London office at 167 Great Portland Street in September 2026, establishing a dedicated UK hub for customers, partners, and hiring. Cameron Brown leads the UK operation as Managing Director. The company raised a $20 million seed round in June 2026, the largest cybersecurity seed financing raised by an EU company to date, and its London office is a direct result of that growth.
NeuralTrust is the most comprehensive AI security platform available to UK organisations. Its four products cover the full lifecycle of AI security from a single deployment.
TrustGate - AI Gateway:
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TrustGate sits between applications, agents, tools, and models, enforcing policy on every request in real time: prompt injection detection, content filtering, token budgets, rate limiting, semantic caching, cost attribution, and intelligent routing across model providers.
It supports all major LLM providers (OpenAI, Anthropic, Google, Mistral, and open-source models) and deploys in Kubernetes or any cloud environment.
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TrustGuard - Runtime Security
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TrustGuard is the first runtime security mesh extensible to every AI agent: monitoring tool calls, MCP connections, and agent reasoning across any platform without per-agent custom integrations. It detects and blocks malicious or unsafe agent behaviour in real time: prompt injection campaigns, out-of-scope outputs, data exfiltration attempts, and policy violations.
TrustLens - Agent Posture Management
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TrustLens discovers and inventories every AI agent running across the organisation, maps tool access and data permissions, scores risk posture, and flags policy violations. As agent proliferation accelerates, asset visibility across the full agent estate is the prerequisite for governance.
TrustTest - AI Red Teaming
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TrustTest runs automated adversarial attack suites against LLM applications: prompt injection, jailbreak, data extraction, model manipulation, and full OWASP LLM Top 10 coverage. Results feed directly into remediation workflows.
Analyst recognition
NeuralTrust is recognised by:
- Gartner in the Hype Cycle for Application Security 2026.
- The Market Guide for AI Gateways.
- The Hype Cycle for AI Governance Technologies 2026 (AI Runtime Defense category).
- The KuppingerCole Leadership Compass for Generative AI Defense.
- The SACR 2026 Major Player in Endpoint Control and Prevention.
- And the MarketsandMarkets AI Security report.
ISO 27001 certified. Platforms deploy within customer infrastructure, LLM traffic never leaves the customer's environment.
Geordie AI
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Geordie AI is a London-founded AI governance and security platform purpose-built for AI agents. Its core capabilities cover agent discovery (automatically finding every agent across cloud, code, and endpoint environments), posture management (mapping permissions, tool connections, MCP integrations, system prompts, and sub-tools for every agent), behavioral observability (continuous audit records of every prompt, plan, response, and tool invocation), and risk intelligence (mapping findings to OWASP, NIST, ISO 42001, and the EU AI Act).
Geordie's remediation product, Beam, intervenes at the agent level in real time using an endpoint-based architecture, explicitly positioned as an alternative to gateway-based approaches for teams that prioritise low deployment friction over centralized traffic control.
Geordie raised €25 million in May 2026 and won the RSA Conference Innovation Sandbox in 2026, alongside Gartner Cool Vendor recognition. UK customer base includes OakNorth, 118 118 Money, Forge Holidays, Synthesia, and AlphaSense. ISO 27001 certified, SOC 2 Type II attested, EU data residency available.
Mindgard
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Mindgard is a Lancaster University spinout with offices in Lancaster and London. It focuses on continuous AI red teaming and vulnerability assessment: automatically probing AI models, generative AI applications, and autonomous agents for security and safety weaknesses across the full attack lifecycle.
The platform covers shadow AI discovery, continuous red teaming, and real-time threat protection. Mindgard's research team has publicly disclosed more than 150 high-impact security and safety vulnerabilities in widely used AI products, including systems from OpenAI, Google, and Cursor, giving the platform credibility with technical security teams that evaluate vendors on research depth.
Mindgard raised £22 million ($30 million) in a Series A round in August 2026, led by Album VC with participation from Karma Ventures, IQ Capital, and Lakestar.
International AI Security Platforms Serving the UK
Zenity
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Zenity is a US-based AI agent security platform that raised $125 million in a Series C round in August 2026. Gartner named Zenity the "Company to Beat" in AI agent governance in an April 2026 report. The platform focuses on AI agent security within enterprise SaaS environments: Microsoft Copilot, Salesforce agents, and similar enterprise deployments. Zenity is expanding actively across Europe and hosted its AI Agent Security Summit in London in 2026 as part of a four-city global series.
HiddenLayer
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HiddenLayer is a US-based AI security platform consistently cited by analysts as one of the most mature pure-play AI security vendors. Its focus is AI model security across the full lifecycle: model-file integrity, supply chain security, AI discovery, attack simulation, and runtime threat detection. HiddenLayer appears regularly in UK enterprise security evaluations (particularly in financial services and government) for its depth in model-level protection and adversarial attack simulation.
Feature Comparison: Best AI Security Platforms UK (2026)
| Capability | NeuralTrust | Geordie AI | Mindgard | Zenity | HiddenLayer |
|---|---|---|---|---|---|
| UK office / UK base | Yes (London) | Yes (London) | Yes (Lancaster/London) | No (London events) | No |
| AI gateway / LLM traffic control | Yes | No | No | No | No |
| Prompt injection defence | Yes | Partial | Yes | Partial | Yes |
| AI agent and MCP security | Yes | Yes | Partial | Yes | Partial |
| AI red teaming | Yes (TrustTest) | No | Yes (core focus) | No | Yes |
| Agent posture management | Yes (TrustLens) | Yes (core focus) | Partial | Yes | No |
| Model supply chain security | Partial | No | Yes | No | Yes |
| Open-source option | Yes (TrustGate) | No | No | No | No |
| On-premises / self-hosted | Yes | Endpoint-based | Yes | No | Yes |
| UK GDPR and NCSC alignment | Yes | Yes | Yes | Partial | Partial |
| Gartner recognition | Yes (4 reports) | Yes (Cool Vendor) | No | Yes (1 report) | No |
How to Choose the Right Platform for Your Organisation
The right platform depends on your primary security requirement.
If you need to control every LLM request in real time and want an open-source starting point: TrustGate from NeuralTrust is the only gateway-based option in this guide and the only one with a zero-cost entry point. It is the right choice for engineering teams building LLM applications who want security controls without application changes.
If your primary risk is AI agent proliferation across SaaS tools: Geordie AI's endpoint-based agent discovery and Zenity's enterprise SaaS focus both address this well. Geordie has the advantage of being UK-based with direct NCSC alignment.
If adversarial testing and red teaming is the immediate requirement: Mindgard's research depth and continuous red teaming focus makes it the strongest UK-native option. NeuralTrust's TrustTest covers this within a broader platform.
If you need a single platform covering gateway, runtime defence, agent posture, and red teaming: NeuralTrust is the only vendor in this guide offering all four from a single deployment, with a London office and UK Managing Director supporting the account.
Start Securing Your AI Infrastructure Today
UK engineering and security teams can deploy TrustGate (NeuralTrust's AI gateway) in their own environment in minutes. No sales call. No credit card. It provides full LLM traffic visibility, prompt injection defence, rate limiting, and cost attribution from the moment TrustGate is running.
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FAQs about AI Security Platforms in the UK
1. What is an AI security platform and how is it different from traditional cybersecurity tools?
An AI security platform is purpose-built to detect and prevent attacks targeting LLMs, AI agents, and generative AI systems. Traditional cybersecurity tools (firewalls, SIEMs, endpoint detection and response) protect networks, endpoints, and applications, not the inputs and outputs of AI models. AI-specific threats like prompt injection, jailbreaking, indirect context manipulation, and model data poisoning require AI-aware controls that operate at the prompt and completion layer.
2. What UK regulations apply to AI security in 2026?
UK organisations deploying AI are subject to the NCSC AI Cyber Security Code of Practice (2025), which defines 13 principles for secure AI development and deployment. They are also subject to UK GDPR obligations for AI systems processing personal data, ICO guidance on generative AI, and sector-specific frameworks including FCA model risk management expectations for financial services and NHS data governance requirements for health sector organisations.
3. What is the difference between a UK-based AI security platform and an international one?
UK-based platforms are incorporated or operationally headquartered in the UK, with local teams, UK-specific regulatory expertise, and data residency options designed for UK compliance requirements. International platforms with UK presence have dedicated offices, sales teams, or local infrastructure in the UK but are headquartered elsewhere. For regulated sectors (NHS, government, FCA-supervised firms) the distinction matters for procurement, data sovereignty, and support SLA requirements.
4. What is prompt injection and why is it the top AI security risk for UK businesses?
Prompt injection is an attack in which adversarial instructions embedded in an LLM input cause the model to deviate from its intended behaviour, revealing confidential data, bypassing content filters, or taking unauthorised actions. OWASP ranks prompt injection as the number one vulnerability in the LLM Top 10. For businesses using AI agents that retrieve external content (web pages, emails, documents), indirect prompt injection (where malicious instructions are embedded in retrieved content) is particularly dangerous because it requires no direct application access.
5. Which UK AI security platform is best for financial services organisations?
Financial services firms regulated by the FCA need platforms that produce structured audit logs mapping to FCA model risk management expectations, that deploy within UK or EU infrastructure for data sovereignty, and that support adversarial testing documentation. NeuralTrust (London office, gateway-based, NCSC-aligned audit outputs, ISO 27001), Geordie AI (London-based, SOC 2 Type II, EU data residency), and Mindgard (UK-based, red teaming depth) are the strongest options for this sector. NeuralTrust is the only one covering the full stack including gateway-level traffic control.
6. What is the agentic AI security market worth and why is it growing so fast?
The agentic AI security market is projected to grow from $1.65 billion in 2026 to $13.5 billion by 2032, a 42% compound annual growth rate. The growth is driven by the speed at which AI agents are entering production: Gartner predicts 40% of enterprise applications will integrate task-specific AI agents by end of 2026, up from less than 5% in 2025. As agents take autonomous actions across corporate systems, the risk surface expands faster than traditional security tools can adapt to, creating demand for purpose-built AI agent security platforms.
About the Author
Roger Howroyd is Head of Global SEO and AI at NeuralTrust, where he leads the company's search strategy across SEO, AEO, GEO, and LLM optimization. He specializes in AI-powered search, content strategy, and SEM. Connect on LinkedIn.
NeuralTrust is an AI agent security platform with offices in London (167 Great Portland Street), Barcelona, and New York. Recognised by Gartner in the Hype Cycle for Application Security 2026, the Market Guide for AI Gateways, and the Hype Cycle for AI Governance Technologies 2026. Also recognised by KuppingerCole, SACR, and MarketsandMarkets. ISO 27001 certified.