Google has unveiled new enterprise Gemini AI tools in Android Studio, tailored to meet their privacy, security, and management demands.
The update aims to empower organisations by integrating AI-powered coding assistance while addressing concerns around data protection and intellectual property (IP).
Sandhya Mohan, Product Manager for Android at Google, explained: “We’ve heard that some people at businesses have additional needs that require more sensitive data protection, and this offering delivers the same Gemini in Android Studio that you’ve grown accustomed to, now with the additional privacy enhancements that your organisation might require.”
Available through Gemini Code Assist Standard or Enterprise editions, the subscription-based service enables administrators to assign licences via the Google Cloud console.
Enterprises gain access to enhanced security protocols, including VPC Service Controls, Private Google Access, and granular IAM permissions. The offering also complies with industry certifications such as SOC 1/2/3, ISO/IEC 27001, and 27701, ensuring adherence to global security and privacy standards.
Code remains secure with Gemini for enterprise
Google emphasises that customer code, inputs, and AI-generated recommendations are not used to train shared models or develop products. Organisations retain full ownership of their data and IP.
“Our data governance policy helps ensure customer code, customers’ inputs, as well as the recommendations generated will not be used to train any shared models nor used to develop any products,” added Mohan.
The Enterprise edition further includes generative AI IP indemnification, protecting businesses against third-party copyright claims related to AI-generated code. This aligns with the indemnification policies applied to Google Cloud’s generative AI APIs.
Tailored code customisation
Developers using the Enterprise licence can connect Gemini to GitHub, GitLab, or BitBucket repositories – including on-premise installations – to customise code suggestions based on internal frameworks. This integration allows Gemini to align code completions, generations, and chat responses with an organisation’s best practices.
According to Google, enterprises using code customisation saw a 70% improvement in AI suggestion acceptance rates compared to the base model.
“Tailored responses through code customisation dramatically improve the quality of AI-provided answers,” Mohan noted.
Built for Android developers
Gemini in Android Studio continues to focus on Android-specific workflows, offering tools such as:
- Build and sync error support: Targeted insights to resolve build issues.
- App quality insights: Analysis of crashes reported via Google Play Console and Firebase Crashlytics.
- Compose preview generation: Rapid generation of Jetpack Compose previews.
The AI assistant integrates across the development lifecycle, from writing and refactoring code to publishing apps.
Businesses require a Gemini Code Assist Enterprise licence and Android Studio Narwhal (available on the ‘Canary’ channel) to begin.
“By providing generative AI indemnification and robust enterprise management tools, we’re enabling organisations to innovate faster and build high-quality Android applications with confidence,” Mohan concludes.
The free version of Gemini in Android Studio remains available for individual developers.
(Photo by Arthur Osipyan)
See also: Google bolsters Android security for app developers and users
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