データ安全・正確な回答・透明性
既存システムとデータに接続。出力は業務フローへ戻し、アクセス管理はお客様のシステム側で行います。
データ主権 × コスト管理 × コンプライアンス対応
同じAIでも違いはここ：リスクを制御できるか、コストを見積もれるか
3 分間のインタラクティブデモ—AI を検証可能・監査可能・本番対応に
コンプラは証明が必要、監査は説明が必要。でもクラウドに機密データを置けない？
出典付き回答、監査可能なアクション
Quick answers to help you evaluate and roll out AI Sandbox.
AI Sandbox is an On‑Prem Tamed AI solution for making enterprise AI truly deployable (Secure • Smart • Simple). The core idea is to turn “AI is powerful, but enterprises fear incidents” into a delivery that is governable, auditable, and verifiable.
A typical chatbot often stops at “conversation”, while enterprise deployment gets stuck on four questions: traceability, accountability, cloud data risk, and whether deployment means rebuilding systems / how to operate long-term. AI Sandbox turns those concerns into a governable delivery:
AI Sandbox is not “a better chat UI”—it is a delivery that makes security, compliance, and accountability explicit:
In contrast, typical public cloud AI tools are often optimized for individual accounts and one-off chats; enterprises usually need to fill in governance, auditability, and compliance on their own.
Best for high-frequency, standardizable, content-heavy workflows where sensitive data must stay on-prem and access must be auditable—especially when you want to turn documents/knowledge into usable answers, processes, and reports.
It also fits finance analysis and risk review (“financial statements become accurate, traceable, and usable”), internal policy/SOP lookup, audit/compliance, and cross-team knowledge transfer.
The core difference is not “which model is stronger”, but data boundary, governance accountability, and auditability:
AI Sandbox is not just “running a model inside the intranet”—it is a governable, auditable, and acceptance-ready delivery (On‑Prem Tamed AI):
