AI that's secure.
And provably so.
Security testing, risk assessment, and governance frameworks for AI systems. From LLM red teaming to EU AI Act compliance — we test your models the way attackers would, then build the governance to keep them safe.
We test AI systems the way adversaries do — prompt injection, model inversion, adversarial inputs. Not theoretical risk assessments.
We understand the EU AI Act, ISO 42001, and GDPR implications for AI processing. We build compliance evidence, not just gap reports.
Our team has built and deployed AI systems. We assess them at a technical depth that pure compliance consultants can't match.
Six services. AI security and governance, end to end.
AI Risk Assessment
ISO 42001 · EU AI ActA structured risk assessment of your AI systems against emerging regulatory frameworks including the EU AI Act and ISO 42001. We identify high-risk use cases, assess current controls, and produce a risk-rated findings report.
- AI system inventory & classification
- EU AI Act risk tier assessment
- ISO 42001 gap analysis
- Bias & fairness evaluation
- Risk register & treatment plan
AI Security Testing
Adversarial · Red TeamSecurity testing specifically designed for AI and ML systems. We probe your models for prompt injection, adversarial inputs, model inversion, data poisoning, and supply chain vulnerabilities — using real attack techniques.
- Prompt injection testing (LLMs)
- Adversarial input testing
- Model inversion & extraction
- Data poisoning assessment
- AI supply chain review
LLM Security & Red Teaming
GPT · Claude · Custom ModelsDedicated red teaming for Large Language Model deployments. We test your LLM applications for jailbreaking, indirect prompt injection, data leakage, and misuse scenarios — before your users find them.
- Jailbreak & bypass testing
- Indirect prompt injection
- System prompt extraction
- Data leakage assessment
- Misuse scenario modelling
AI Governance Framework
Policy · Process · ControlsWe design and implement an AI governance framework tailored to your organisation — covering model lifecycle management, human oversight, accountability structures, and incident response for AI systems.
- AI governance policy suite
- Model lifecycle management process
- Human oversight controls
- AI incident response playbook
- Board-level AI risk reporting
Responsible AI & Bias Testing
Fairness · ExplainabilityTechnical assessment of your AI models for bias, fairness, and explainability. We test across protected characteristics, evaluate model outputs for discriminatory patterns, and assess explainability mechanisms.
- Bias & fairness testing
- Protected characteristic analysis
- Explainability assessment (XAI)
- Model card development
- Fairness remediation guidance
AI Compliance & Regulatory Readiness
EU AI Act · GDPR · DPIAPrepare your AI systems for regulatory scrutiny. We conduct Data Protection Impact Assessments for AI processing, assess compliance with the EU AI Act, and build the documentation required for regulatory review.
- AI-specific DPIA
- EU AI Act compliance assessment
- Technical documentation (Annex IV)
- Conformity assessment support
- Regulatory submission preparation
Inventory, test, govern, certify.
Inventory
We map your AI systems, data flows, and use cases — classifying each against regulatory risk tiers and identifying the highest-priority areas for assessment.
Test
Security testing, bias evaluation, and governance gap analysis run in parallel. We use real attack techniques and regulatory frameworks — not checkbox assessments.
Govern
We build the governance framework, policies, and controls your AI systems need — from model lifecycle management to incident response playbooks.
Certify
We prepare the technical documentation, DPIAs, and compliance evidence needed for regulatory review, certification, or board-level assurance.
Deploy AI with confidence.
Book a 30-minute call. We'll assess your AI systems, identify the highest-risk areas, and give you a clear path to secure, compliant AI deployment — with engineering included.