Build secure AI-powered applications with confidence.
Mend AI analyzed over 350,000 pre-trained models to help your teams uncover hidden security risks, licensing concerns, and versioning challenges. Focus on innovation and not security or compliance audits.
AI models are often trained on vast datasets which can include pre-existing, open-source codebases with varying licenses – and sometimes even proprietary code. Meaning the code it generates may blend between multiple different elements, each with different licensing terms.
Mend AI has indexed publicly available, pre-trained LLM models so companies can surface relevant information on the models they’re using and avoid issues with license compatibility and compliance.
COMING SOON
According to Forrester, 97% of enterprise executives believe their developers aren’t using AI-generated code, while over 52% of dev teams have already integrated AI generated code into their production workflows.
Currently in early testing with selected partners, Mend AI detects generative AI code and its source – such as GitHub Copilot, AWS Code Whisperer, and beyond.
COMING SOON
Many publicly available AI models are trained on biased data sets, such as cultural stereotypes and gender-biased images in graphic models. Meaning that these biases can be reproduced or even amplified in AI-generated code.
Mend AI uses advanced algorithms to uncover gender biases found in AI models – deflecting potential legal issues and fostering inclusion.
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