Salt Security Study Finds Widespread Concern Over AI Generated Code Risks

Salt Security announced in a press release that nine in ten security leaders are concerned about the risks introduced by AI generated code. The findings come from a new report titled AI Coding Assistants and the New Security Challenge, based on responses from IT security leaders in the United Kingdom and the United States.

The study found that 67% of organizations have adopted AI coding assistants across their development teams. Despite this adoption, 38% still rely mainly on manual reviews to check AI generated code. The top risks identified include insecure coding patterns, cited by 29% of respondents, and misalignment with internal security policies, cited by 15%.

According to the report, larger enterprises face greater operational challenges as AI adoption scales. Organizations with more than 500 employees reported more frequent issues with enforcement consistency, developer overreliance, and governance complexity. Salt Security warned that manual review processes cannot keep pace with the speed and volume of AI generated code, creating what it calls “security drift” across development environments.

The report outlines five priorities for improving governance, including better visibility into AI generated code, reducing dependence on manual review, and treating AI coding assistants as part of the software supply chain.