Tabnine Introduces Ability to Flag Unlicensed Code in AI-generated Software

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Feature enables engineering teams to reduce risk of IP infringement when using popular LLMsTEL AVIV, Israel, Dec.17, 2024 (GLOBE NEWSWIRE) -- Tabnine, the originators of the AI code assistant category, today introduced Code Provenance and Attribution, a feature that enables enterprises to benefit from the use of large-scale, popular LLMs for software development tasks while minimizing the likelihood of restrictively licensed code being injected into their codebase.

"Models trained on larger pools of data outside of permissively licensed open source code can offer superior performance, but enterprises who use them run the risk of running afoul of IP and copyright violations,” said Peter Guagenti, President at Tabnine.

With Provenance and Attribution, Tabnine checks code generated using AI chat or AI agents against code that is publicly visible on GitHub, flags any matches, and references the source repository as well as its license type.

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Author / Journalist: Tabnine

Category: Technology

Markets: ChinaIsrael

Topics: Provenance Models Software Development Matches Tabnine Licensed Trained Attribution Code Capability

Source Website Secure: Yes (HTTPS)

News Sentiment: Negative

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-12-17 @ 14:00:00 (5 days ago)

News Timezone: GMT +8:00

News Source URL: globenewswire.com

Language: English

Article Length: 664 words

Reading Time: 4 minutes read

Sentences: 20 lines

Sentence Length: 34 words per sentence (average)

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News ID: 24508374

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