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Meshesha Solutions

Meso-AI-Gateway

In-Boundary AI Governance for GKE

Route, secure, audit, and meter LLM traffic across Vertex AI, private models, and approved external providers — deployed in the customer's Google Cloud environment with no Meshesha data transit.

Discuss DeploymentReview Security Model

Boundary-first deployment model

Customer tenant first
No prompt, key, or usage-log transit through Meshesha-controlled infrastructure unless explicitly configured.
GKE-native
Packaged for Kubernetes deployment patterns that regulated platform teams already operate.
Provider neutral
Supports routing patterns for Vertex AI, private model endpoints, and approved external providers.

Deployment flow

Three steps from cluster to governed AI

1

Deploy

The gateway Helm chart is installed into your existing GKE cluster. Workload identity and network policies are configured to your cluster's standards.

2

Route

AI requests from internal services flow through the gateway. Each request is logged, metered, and optionally inspected by guardrail hooks before forwarding.

3

Govern

Rate limits, identity-aware quotas, PII filters, and prompt-injection hooks enforce your policy in-boundary — with structured audit logs for downstream compliance workflows.

The problem

Uncontrolled SaaS AI proxies

Regulated teams want AI adoption without sending sensitive prompts, API keys, logs, or usage telemetry through uncontrolled third-party infrastructure.

The solution

Meso-AI-Gateway

A Kubernetes-native AI gateway deployed into the customer's environment, centralizing routing, governance, and auditability without Meshesha data transit.

Enterprise-ready

Validated for procurement

Production readiness, support boundaries, and security practices made explicit for enterprise validation workflows and regulated acquisition processes.

Core capabilities

  • ✓Model routing
  • ✓API schema normalization
  • ✓Identity-aware usage tracking
  • ✓Token metering and rate limits
  • ✓Structured audit logs
  • ✓PII and prompt-injection guardrails
  • ✓Vertex AI integration
  • ✓Private model endpoint support

Buyer use cases

  • →Defense Industrial Base AI governance
  • →Public-sector document AI
  • →Internal developer AI access control
  • →CMMC-oriented auditability workflows
  • →Multi-model routing across approved providers

Common questions