Companies lose control over AI deployments not due to technology, but because their governance processes move slower than the speed at which employees productively use generative AI.
AI agents as active system participants with data access require new security approaches beyond classical governance, as their risks stem from gradual behavioral changes and Shadow AI, not from obvious violations.
Uncontrolled AI usage by employees jeopardizes data security and compliance – network monitoring and clear AI policies are essential for risk mitigation.
Browser-based AI attacks and uncontrolled employee use of AI tools make transparent monitoring of browser traffic a core task of modern cybersecurity governance.
Shadow AI is no longer uncontrolled pasting into ChatGPT, but rather the development and deployment of complete AI-generated applications beyond security oversight.
