Surf Security
GenAI Security and Privacy Risk Management
Pages
4
Time to read
3 mins
Publication
Language
English
Pages
4
Time to read
3 mins
Publication
Language
English
This document is a guide addressing the security and privacy risks associated with generative AI (GenAI) tools, particularly from the perspective of IT and security leaders. It outlines the increasing number of data breaches and insider errors exacerbated by the use of GenAI technologies, highlighting the need for stricter policies and security controls. The guide emphasizes the importance of managing risks by restricting access to GenAI tools and controlling the information inputted into these systems. It discusses the potential consequences of data leaks, including regulatory fines and loss of competitive advantage, citing examples from companies like Samsung. Furthermore, the document presents a solution through the implementation of a zero trust security model within an enterprise browser, detailing features that can mitigate data leak risks, such as identity and access management policies, data loss prevention measures, and comprehensive auditing capabilities. The guide concludes by noting the growing trend of organizations adopting enterprise browsers for enhanced security.