As AI adoption accelerates, visual data risks are becoming another consideration within the evolving enterprise AI security landscape. In fact, this evolution is changing how employees interact with sensitive information. Instead of navigating multiple applications and documents, employees can increasingly use AI to consolidate information, compare records, generate summaries, and…

Data at Rest, Data in Transit, and Data in Use, these categories provide the foundation for protecting information as it is stored, transmitted, and processed across enterprise environments. However, the way people interact with information has changed significantly. Cloud applications, remote work, virtual desktops, AI-powered tools, and collaborative platforms have…

Organizations invest heavily in Data Loss Prevention (DLP) technologies to prevent sensitive information from leaving their environment. DLP solutions can monitor data movement, inspect file transfers, enforce policies, and help security teams detect unauthorized sharing across endpoints, networks, and cloud platforms. However, sensitive information continues to leak. Not because DLP…

Visual Data Security helps organizations protect sensitive information when it is visible on screens, mobile devices, virtual desktops, and shared work environments. As businesses adopt hybrid work, cloud collaboration, remote access, and AI-powered workflows, a growing amount of sensitive information is exposed at the visibility layer, often referred to as…

Understanding the growing risks of data in view, visual exposure, and insider-driven screen data leaks. As organizations become increasingly digital, sensitive information is constantly exposed across screens, remote sessions, mobile devices, shared workstations, and printed documents. While cybersecurity strategies continue to evolve, many traditional controls still struggle to address what…