Use of risk-ranking methods to determine where LLM-generated code is safe to deploy increased by 12%.
Use of risk-ranking methods to determine where LLM-generated code is safe to deploy increased by 12%. — This cybersecurity statistic was published by Black Duck in February 2026. It covers topics including AI Security, Risk Management, Application Security, LLM-Generated Code. The original data appears in BSIMM16. For the full methodology and detailed findings, refer to the original report.
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What does this statistic say?
Use of risk-ranking methods to determine where LLM-generated code is safe to deploy increased by 12%. This data was published by Black Duck and covers AI Security, Risk Management, Application Security, LLM-Generated Code.
Where does this data come from?
This statistic comes from BSIMM16, published by Black Duck on February 9, 2026. You can view the original report at https://www.blackduck.com/resources/analyst-reports/bsimm.html.
What cybersecurity topics does this cover?
This statistic relates to AI Security, Risk Management, Application Security, LLM-Generated Code. Browse more statistics on AI Security or from Black Duck.