- Framework Alignment: Utilizing internationally recognized standards, such as the NIST AI Risk Management Framework, to complement compliance evaluations and reinforce the risk posture.
- Comprehensive Analysis: Identifying and classifying regulatory, technical, and other kinds of risks to differentiate between critical blockers and mitigable issues.
- Actionable Insights: Delivering evidence-based recommendations to support informed decisions regarding technical development, system release and deployment.
Key Value: Moving beyond baseline compliance to evaluate specific threat scenarios inherent to the application context.
Practical example
Organizations deploying AI in critical environments often require structured risk assessment processes. This service facilitates, among other activities:
- Threat and Vulnerability Assessment: Identification of risks and vulnerabilities associated with a specific AI application.
- Control Identification: Definition of technical and organizational controls proportionate to identified risks.
- Regulatory Alignment: Consideration of relevant requirements under frameworks such as the AI Act, NIS2, and the Cyber Resilience Act.
Case Study: The service supports an organization deploying AI in industrial environments by assessing risks, identifying mitigation measures, and defining a roadmap for secure deployment.
