Security of AI
Adopt AI without losing control of it
The LLM Gateway sits between your applications and AI providers. Every prompt and response is inspected, logged and governed by policy, whichever model you use.
1 gatewayFor every model and provider
AI DLPPII, PHI, keys and financial data
Deploy anywhereKubernetes, AWS, Azure or GCP
How it works
One control point for all AI traffic
Unified gatewayOne integration point for apps and agents across providers.
Access controlRole-based permissions with audit trails.
Intelligent routingRequests sent to the right provider by policy, cost and performance.
Users & apps
Chat assistantsInternal appsAI agentsLLM Gateway
DLPThreat protectionRoutingAuditModels
Public LLMsPrivate modelsCustom modelsCapabilities
Complete AI security
DLP
Data loss prevention
Detects personal, health and financial data and secrets, then blocks, masks or rewrites.
Threats
Threat protection
Defends against prompt injection, jailbreaks and adversarial inputs.
Govern
Governance
Token quotas, rate limits, cost budgets and full audit logs.
Cost
Cost optimisation
Prompt optimisation and routing to control spend.
Build
Extensible
REST API, SDKs and plugins.
Deploy
Deploy anywhere
On-premises Kubernetes or major clouds.
Next step
Bring one real incident. We will walk it through CyberWall.
A working session with our engineers, built around your sources, your alerts and the questions your SOC is asking today.

