API gateway heritage vs AI-native governance.
Kong is a mature API gateway with AI plugins added on top. DVARA is purpose-built for AI traffic patterns — tokens, models, streaming, MCP tool calls, agent loops, and context windows. The difference is architectural, not incremental.
Kong treats AI as another API. DVARA understands AI traffic natively.
| Feature | DVARA | Kong AI |
|---|---|---|
| OpenAI-compatible unified API | ✓ | ∼ |
| Structured outputs across all providers | ✓ | — |
| Per-model capability flags on /v1/models | ✓ | — |
| Capability-aware route filtering | ✓ | — |
| Context window governance + pruning | ✓ | — |
| Semantic caching (vector similarity) | ✓ | — |
| Feature | DVARA | Kong AI |
|---|---|---|
| Policy-as-Code engine (YAML DSL) | ✓ | — |
| Policy dry-run before activation | ✓ | — |
| Immutable HMAC-signed audit trail | ✓ | — |
| PII detection and redaction | ✓ | — |
| Prompt firewall + jailbreak detection | ✓ | — |
| Budget caps with model downgrade | ✓ | — |
| RBAC access control | ✓ | ✓ |
Kong has no MCP awareness whatsoever.
| Feature | DVARA | Kong AI |
|---|---|---|
| MCP tool calls proxied and governed | ✓ | — |
| MCP PII scan on arguments + responses | ✓ | — |
| MCP server registry + credentials | ✓ | — |
| Human approval gate | ✓ | — |
| Agent loop detection + kill switch | ✓ | — |
| Unified LLM + MCP trace | ✓ | — |
| Feature | DVARA | Kong AI |
|---|---|---|
| Purpose-built for AI traffic | ✓ | — |
| Sub-60-second quickstart | ✓ | — |
| Air-gapped deployment | ✓ | ✓ |
| Multi-region active-active | ✓ | ✓ |
| SOC2 / HIPAA compliance reports | ✓ | — |
| EU AI Act compliance engine | ✓ | — |
Kong is a general-purpose API gateway that added AI plugins. DVARA is an AI-native governance platform. Kong understands HTTP requests; DVARA understands tokens, models, tool calls, agent loops, and context windows. If your AI traffic needs more than routing, Kong hits its architectural ceiling.
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