In this webinar, Tom Callaghan and Christophe Forêt break down key methodologies for assessing and managing GenAI risks, focusing on AI system architecture, attack vectors, and risk scenarios within established AI risk management frameworks.
As organizations increasingly deploy new Generative AI tools, understanding and mitigating the associated risks is essential. This webinar breaks down key methodologies for assessing and managing GenAI risks, focusing on AI system architecture, attack vectors, and risk scenarios within established AI risk management frameworks.
Designed for teams developing or deploying AI tools, this session will explore data-driven methodologies for assessing and managing AI-related risks in an enterprise context.
Key topics include:
* Understanding the risks associated with GenAI
* Identifying AI architectures and high-exposure components
* Exploring attack vectors and threat models using OWASP and MITRE ATLAS
* Mapping GenAI-specific threats and vulnerabilities within kill chains
* Risk modeling, quantification, and treatment planning
Register now and watch the replay.
Generative AI introduces new cybersecurity threats and can amplify existing risks, exposing your critical assets to harm. Our AI risk assessments use data-driven FAIR™ frameworks to identify threats, quantify impacts, and develop mitigation strategies that safeguard your business and users.
Learn more about AI risk assessment.
C-Risk is a recognized expert in Cyber Risk Quantification using the FAIR™ methodology. We provide CRQ solutions, advisory services and training.
