Access
Keep familiar tools
Unify cloud and local models so familiar ways of working continue.
GBOX AI Security GatewayEnterprise AI Access and Security Governance
Easy for employees. Controllable for the enterprise.
Connect every intelligent call. Control every security risk.
On-prem deliverySoftware + hardwareUnified governance
Operations
See costs clearly
Attribute usage by department, project, and user so budgets match the business.
Governance
Ground risk in evidence
Content checks, policy actions, and call trails form an audit chain.
One gateway
for usability and control
Employees keep using familiar AI tools while the enterprise governs access, operations, and risk in one place.
For employees
Bring AI into daily work
Unified access across models
Publish models and bind upstreams in the model plaza, route by priority or weighted round-robin, and keep access within enterprise authorization.
Allocate quotas by project
Configure budgets and rates by department, project, and API key, and review effective quotas, holds, and increase requests.
Validate before go-live
Built-in security scenarios and client compatibility checks cover basic, streaming, multi-turn, and tool-return flows; results follow the checked items.
For the enterprise
Manage every call
Clear cost attribution
Separate internal billing from procurement cost, and combine token usage, unbilled calls, trends, and department rollups.
Traceable ops and actions
Review call and risk trends, then locate actions, sources, and related objects in the audit log by time and keyword.
Policy before content leaves
Detect on request, response, or both; redact, block, or alert on hits; combine with model safety constraints for layered protection.
Employees · Tools · Agents
GBOX AI Security Gateway
Identity · Routing · Policy · Audit
Approved cloud / local models
Governance in visible interfaces
Connect access, operations, and governance from overall usage down to a single call.
Online debugging for familiar workflows
Free chat, built-in scenario tests, and client compatibility checks live on the model testing page, with chat, image generation, and streaming.
Standard APIs for existing apps
Review unified endpoints, auth methods, and call examples in the API docs, then connect apps with enterprise settings.
Layered quotas by business unit
Configure monthly budgets, RPM/TPM, and concurrency by department, project, and API key, and review effective quotas and holds.
Configurable sensitive-data protection
Configure rules for keywords, regex, identity data, credentials, code, and commands, including detection direction and hit actions.
Cost ownership tied to budgets
Review internal billing, procurement cost, and usage rollups, then locate spend with filters and details.
Audit-ready operation logs
Search actions by time and keyword, and review operator, source, related objects, and content.
See how GBOX AI Security Gateway
connects and governs
From positioning and unified access to cost, security, and on-prem delivery, understand the full management path for enterprise AI use.
Download intro videoSoftware and hardware on your intranet
Keep identity, credentials, policy, and audit data on premises. Choose a configuration that matches model runtime and business needs.
01
Standard
RK3588
Full gateway and governance capacity for sensitive detection, embeddings, and other light local inference.
Best fitCloud-call governance
02
Standard + coprocessor
RK3588 + 1828 coprocessor
Add an inference accelerator to run local models around the 2B-parameter scale.
Best fitLocal small-model scenarios
03
Flagship
DGX-Spark
Host local large-model inference and high-concurrency local processing while keeping full gateway governance.
Best fitFull local / high concurrency
Start with one team, or one project
Engineering
Unify tool and model access while watching usage patterns and code-exfiltration risk.
Multi-department office work
Manage permissions, quotas, and usage by department to understand team consumption.
Cross-department projects
Attribute calls to projects so cost reporting and budget alerts stay grounded.
Sensitive workloads
Define approved channels and content boundaries, and keep traceable disposition records.
Make AI useful and keep the enterprise confident
Start from real workloads and validate access, operations, and security governance.