AI & LLM Security in the United Kingdom

AI & LLM security in the United Kingdom protects AI and Large Language Model applications from prompt injection, data leakage, model poisoning and excessive agency. The UK launched the world's first government AI Safety Institute and follows a pro-innovation, principles-based approach (DSIT) rather than a single AI statute — though UK GDPR enforcement on AI is active. CyberSigma delivers LLM red-teaming and AI governance mapped to the Information Commissioner's Office (ICO) and the global frameworks (OWASP LLM Top 10, NIST AI RMF, ISO/IEC 42001, MITRE ATLAS). We are CERT-In empanelled and PCI QSA (CEMEA) authorised.

Secure AI adoption for the United Kingdom organisations

The UK launched the world's first government AI Safety Institute and follows a pro-innovation, principles-based approach (DSIT) rather than a single AI statute — though UK GDPR enforcement on AI is active. That momentum means the United Kingdom organisations must now show their AI is secure, governed and compliant — not just functional.

AI introduces failure modes traditional testing misses: chatbots manipulated into leaking data, AI agents coaxed into unauthorised actions, and poisoned models or datasets from public hubs. CyberSigma secures the full AI lifecycle — model, data, application, prompts, plugins and agents — and maps every finding to the Information Commissioner's Office (ICO) and recognised global frameworks.

• LLM & GenAI application penetration testing and red-teaming (OWASP LLM Top 10).
• AI/ML model, pipeline and MLOps security assessment (MITRE ATLAS, Google SAIF).
• AI governance — ISO/IEC 42001 AI Management System and NIST AI RMF.
• Local alignment with the Information Commissioner's Office (ICO).
• Secure AI adoption — GenAI usage policy, shadow-AI and data-leak controls.

AI, finance and the UK regulatory picture

London's status as a global financial centre means many UK AI deployments sit inside FCA- and PRA-regulated firms, where AI used for credit, trading or customer decisions attracts operational-resilience and model-governance scrutiny. UK firms serving EU users also fall under the EU AI Act, so most need to satisfy both regimes at once.

What we test (OWASP Top 10 for LLMs + MITRE ATLAS)

We adversarially test your LLM and GenAI applications the way a real attacker targeting a the United Kingdom organisation would:

• Prompt injection — direct and indirect (documents, web pages, tools).
• Sensitive information disclosure — PII, secrets and system-prompt leakage.
• Insecure output handling — XSS, SSRF and code execution from model output.
• Excessive agency — agents/plugins taking unauthorised or destructive actions.
• Training-data poisoning and model/data supply-chain risks.
• Jailbreaks, guardrail bypass, model extraction and denial-of-wallet.

AI governance & compliance in the United Kingdom

We turn the applicable frameworks into a prioritised, evidenced programme:

• UK GDPR & Data Protection Act 2018 (ICO accountability) for AI and training data.
• NCSC guidance and Cyber Essentials as a security baseline for AI systems.
• EU AI Act risk classification for any AI touching EU users.
• ISO/IEC 42001 AI Management System + NIST AI RMF.

Does the EU AI Act apply to UK companies?

Yes — if you provide AI systems or outputs used in the EU, the EU AI Act applies regardless of where you are based. We assess both UK GDPR/ICO duties and EU AI Act obligations together.

What does the ICO expect for AI and personal data?

The ICO expects a lawful basis, a DPIA for high-risk AI, transparency to data subjects, and appropriate security of processing. We produce that documented, ICO-aligned evidence.

How does AI red-teaming differ from normal penetration testing?

Traditional pen testing targets code and infrastructure; AI red-teaming additionally targets the model's behaviour via prompts, poisoned context and connected tools to make it leak data or act without authorisation. Mature programmes use both — we provide each and can combine them.