The tools, frameworks, and domain expertise behind every PGN Limited engagement — calibrated for UK AI deployments across all industry verticals.
Every tool we use is chosen for a specific purpose. We do not apply a generic stack — our tooling combinations are built around your deployment architecture, regulatory context, and testing objectives.
RAG evaluation framework, extended with UK domain-specific ground-truth datasets for financial services, healthcare clinical guidelines, and legal clause libraries.
RAG PipelinesLLM unit testing framework with pytest integration. Supports LLM-as-judge scoring, hallucination detection, and CI/CD-ready test suites across any model or provider.
All Service LinesRed team testing with UK-specific adversarial scenarios — regulatory evasion, UK financial regulator disclosure manipulation, UK data protection authority data extraction attempts, and social engineering patterns.
Red TeamLLM vulnerability scanner aligned to UK AI Security Guidance Principles and OWASP LLM Top 10. Sector-specific probe libraries for UK financial, clinical, and legal contexts.
Security AuditLoad generation at UK sector peak traffic patterns — healthcare surge periods, financial quarter-end reporting, and peak retail load profiles.
PerformancePipeline tracing and debugging with audit trail generation. Produces the structured logs required for UK regulatory framework model validation and regulatory accountability documentation.
Audit TrailLLM observability and cost monitoring with UK data residency support. Configured for GDPR-compliant log storage within Azure UK South or AWS eu-west-2.
MonitoringTracing and semantic drift detection for production LLM systems. Alerts on quality degradation before it becomes a regulatory or operational issue.
Production MonitoringExperiment tracking and model registry with UK data protection authority-defensible audit trail configuration. Every test run is logged with full reproducibility — essential for regulatory evidence packs.
Compliance EvidenceModel performance tracking with visualised evidence packs designed for presentation to UK regulatory institutions and internal auditors — not just technical teams.
Regulatory EvidenceStandardised evaluation harness extended with UK domain-specific test sets for financial services, healthcare, and legal clause consistency.
BenchmarkingAll testing conducted within UK data residency boundaries — Azure UK South and AWS eu-west-2. GCP europe-west2 available on request. Data sovereignty guaranteed.
UK Data ResidencyEvery engagement produces evidence aligned to the specific regulatory frameworks your organisation must satisfy.
Our team is drawn from UK AI research, information security, and regulatory compliance backgrounds.
AI engineers and researchers with hands-on experience in production LLM deployments across UK regulated sectors.
Penetration testing and adversarial AI specialists with experience in UK financial services and government security contexts.
Former compliance professionals with direct experience of UK regulatory institutions across financial services, healthcare, legal, and public sector environments.
Cloud architects with UK data residency specialism — Azure UK South, AWS eu-west-2, and private on-premises LLM infrastructure.
Practical guidance on UK regulatory developments and LLM risk — written for technical and compliance teams, not for press releases.
Delivered to your inbox each quarter. No marketing email — just the report.
Practical guide to the regulatory guidance model risk management framework as applied to LLM deployments — validation requirements, ongoing monitoring, and what internal audit will ask.
Request reportHow to navigate UK sector regulator AI as a Medical Device classification for clinical LLM applications — software as a medical device criteria, regulatory pathway options, and documentation requirements.
Request reportWhat the OWASP LLM Top 10 means in practice for UK regulated deployments — from prompt injection to model theft — with sector-specific risk prioritisation guidance.
Request reportWhat UK regulatory institution guidance on AI use means in practice — consistency obligations, professional indemnity implications, and testing requirements for contract review and legal research tools.
Request reportWhy retrieval-augmented generation pipelines require a different testing approach — and what happens when retrieval quality, source attribution, or context window management goes wrong.
Request reportAn overview of the UK AI Standards evaluation framework and its practical implications for financial services, healthcare, and government AI deployments under UK law.
Request reportTell us about your LLM deployment and we'll identify your three highest-risk areas within two working days — no cost, no obligation, NDA first.