Artificial intelligence has emerged as a significant avenue for data exposure risks. Employees often input confidential information into chatbots, upload documents for analysis, and utilize copilots and agents that IT may not monitor. Kitecyber addresses these vulnerabilities through a single, efficient agent installed on the device where user interactions occur.
Safeguard your data within generative AI platforms: monitor and control sensitive information that is copied or uploaded to tools like ChatGPT, Claude, and Gemini, preventing data leaks in real-time before it departs from the endpoint. Utilizing LLM-based, context-sensitive classification ensures that important data is recognized, even when conventional keyword filtering fails.
Uncover hidden AI applications: systematically catalog every AI tool and agent accessible from the device, including browser extensions, desktop applications, command-line interfaces, and integrated functionalities.
Treat AI agents as distinct entities: observe their operational skills, interconnections, and granted permissions, providing insights into their data handling activities—not just their access capabilities—while taking into account the complete context of devices, processes, and user activity.