Identify, evaluate, and treat the risks embedded in your AI systems.
Identify, evaluate, and prioritise the risks introduced by your AI systems. Designed for organisations whose AI systems affect customers, employees, or business-critical decisions.
AI systems introduce unique vulnerabilities that traditional IT risk frameworks were never designed to address. cAIberion’s AI Risk Assessment employs a structured methodology to pinpoint and quantify these exposures. We conduct specialized assessments covering algorithmic bias, model drift, adversarial robustness, data quality, and privacy risks, alongside third-party AI dependencies and operational reliability. By utilizing the NIST AI Risk Management Framework as our core architecture, we map controls to ISO/IEC 42001 for audit and certification readiness, ensuring full alignment with the EU AI Act for high-risk systems. Deliverable: A comprehensive AI risk register featuring targeted mitigation strategies, residual risk evaluations, and a strategic roadmap for integration into your existing Enterprise Risk Management (ERM) framework.
Risk managers, CISOs, and internal audit teams needing a structured risk baseline for their AI portfolio or audit universe — particularly for board risk committee reporting and regulatory submissions.