AI Security & Governance
AI Risk Assessment
Identify, measure and treat the risks associated with your artificial intelligence systems
Control risk before deploying
Every AI system carries specific risks: discriminatory bias, infringement of fundamental rights, lack of robustness, opacity or dependence on sensitive data. These risks must be assessed before and during operation.
A structured AI risk assessment helps prioritize actions, document decisions and meet emerging regulatory requirements.
Recognized methodology:
Our assessments rely on ISO/IEC 23894 (AI risk management) and the NIST AI Risk Management Framework, consistent with the EU AI Act.
The risk dimensions analyzed
Ethical Risks
Bias, fairness and impact on the fundamental rights of the people concerned.
Robustness
Resilience of the model to errors, drift and adversarial attacks.
Transparency
Ability to explain and audit the decisions produced by the system.
Data
Quality, confidentiality and compliance of training and inference data.
Security
Exposure of the AI system to specific cybersecurity threats.
Compliance
Regulatory classification and associated obligations (EU AI Act, sector-specific).
Our assessment approach
Inventory
Identification of AI systems and their context of use.
Classification
Qualification of each system's regulatory risk level.
Impact Analysis
Assessment of potential impacts, including a Fundamental Rights Impact Assessment (FRIA).
Treatment
Definition of risk-reduction measures and controls to implement.
Monitoring
Periodic reassessment and integration into the AI governance framework.
Use cases
Assess your AI risks
Benefit from a rigorous, documented assessment of the risks of your artificial intelligence systems.
Start an assessment