AI-Generated Code Security
A cited Veracode analysis found security flaws in 45% of AI-generated code. Models may reproduce insecure patterns because public repositories contain decades of insecure code. High-risk AI-generated code should be reviewed like untrusted…
1 sources - 5 claims
A cited Veracode analysis found security flaws in 45% of AI-generated code. Models may reproduce insecure patterns because public repositories contain decades of insecure code. High-risk AI-generated code should be reviewed like untrusted input, especially around authentication, payments, APIs, data ingestion, infrastructure, and sensitive information. AI-generated code should be treated as a security liability unless it has been reviewed and validated. AI-generated code reportedly often fails to defend against cross-site scripting and log injection.