About this event
As organizations increasingly deploy new Generative AI tools, understanding and mitigating the associated risks is essential. This webinar will 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.
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
C-Risk
Quantifying Information RiskC-Risk provides solutions to quantify cyber risk in financial terms, improve information security governance and optimise control investments.
