Tabnine
Tabnine is an AI code completion and chat assistant built for privacy-conscious enterprises, with SaaS, VPC, on-premises, and fully air-gapped deployment options.
Risk score
Assessment across data handling, compliance, security and transparency.
Overview
Tabnine provides AI-powered code completion, chat, and agentic workflows across all major IDEs (VS Code, JetBrains, Visual Studio, Eclipse, Neovim). Its core differentiator is privacy: zero code retention, no training on customer code, and flexible deployment that can keep code entirely inside an enterprise network. For regulated industries (finance, defense, healthcare, government), Tabnine is one of the few code assistants offering a fully air-gapped option — models run on-premises with no outbound connectivity. The Agentic Platform tier adds codebase-aware agents, CLI tooling, and MCP integrations. Enterprises can bring their own LLM or use Tabnine-hosted models, and SOC 2 Type II, GDPR, and ISO 27001 certifications are in place.
Risk factors
3- Multiple deployment options reduce data exposure risk
- Privacy-conscious design with no data sent to third parties
- Strong enterprise controls available
Recommendations
2- Consider on-premises deployment for sensitive projects
- Regularly review privacy settings and configurations
Data handling
- Storage
- Code context processed in-memory; SaaS uses encrypted transit (TLS 1.2+) and at-rest (AES-256) on AWS. VPC, on-premises, and air-gapped deployments keep all data inside customer infrastructure.
- Retention
- Zero code retention on paid tiers — prompts and completions are not persisted. Account metadata retained per privacy policy; deletion honored on request under GDPR/CCPA.
- Training on inputs
- Tabnine does not train its models on customer code. Models are trained on permissively licensed open-source code only.
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