Organizations are investing in generative AI (GenAI) solutions, but concerns around data security and responsible AI implementation persist; Red teaming is a proactive way for security professionals to identify risks in GenAI systems by combining security and responsible AI evaluations, considering the probabilistic nature of GenAI, and navigating the diverse architecture of such systems; Automating red teaming efforts can be beneficial to scale and identify potential blind spots, as demonstrated by Microsoft's Python Risk Identification Tool for generative AI (PyRIT), which aims to assess the robustness of GenAI endpoints against various harm categories, offering an efficiency gain while allowing security professionals to retain control over the strategy and execution.

 Automate red teaming for more secure GenAI