New research from Netskope Threat Labs has found that 83% of AI-related security alerts in manufacturing involve employees sharing information with AI tools in ways that breach company policies. As CXOToday reports:
This makes it the most prevalent AI-related security risk facing manufacturers, with employees potentially exposing confidential documents or sensitive company data through their use of AI applications.
Downstream data policy violations, where AI systems return information to users that are not supposed to see it, are making up an increasingly large proportion of AI security alerts at almost 10%. In light of this, manufacturing companies need to be able to monitor and inspect AI traffic in both upstream and downstream directions.
Regulated data, such as personal or financial information subject to legal protection, is the most common type of sensitive information involved in AI-related data policy violations, accounting for 57% of recorded events. Passwords and API keys follow at 19%, intellectual property at 16% and source code at 9%.
Read more at CXOToday.
