
Recent discoveries have cast a spotlight on critical security flaws within Google’s Gemini Large Language Model (LLM) lineage, including both the Pro and Ultra versions. These vulnerabilities enable attackers to perpetrate prompt injection attacks by crafting prompts that cleverly sidestep the built-in security protocols of the models. The consequence is a potential for unintended sensitive data exposure or the carrying










