Use-case risk classification
including EU AI Act risk categories (prohibited, high, limited, minimal)
Digital Trust Advisory
AI Risk Assessments
Know the risks in every AI system you build or buy
AI can create real value, but it also introduces risks that traditional assessments miss: biased decisions, hallucinations, data leakage, intellectual property exposure, security attacks and regulatory breaches. Our AI Risk Assessments give you a clear, evidence-based view of these risks and how to manage them.
- 7 focus areas covered
- 1 expert team, end to end
01
What we assess
Data risks
data quality, provenance, consent, privacy and intellectual property
Model risks
accuracy, robustness, bias, fairness, explainability and drift
Security risks
prompt injection, adversarial attacks, model theft and supply chain risks
Operational risks
human oversight, monitoring, incident response and third-party AI dependencies
Ethical and societal impact
Regulatory and contractual compliance
02
What you get
Our assessments align with ISO/IEC 42001, ISO/IEC 23894, the NIST AI RMF, the EU AI Act and the OWASP Top 10 for LLM Applications.
- An AI risk register and risk-rated findings
- AI impact assessment documentation
- Practical risk treatment recommendations
- Board-ready reporting on AI risk exposure
Understand your AI risk today.
Tell us what you need to test, certify or protect. An expert from our team will get back to you.