All comparisons
◆ AI Gateway Comparison
VS Kong AI Gateway

Two enterprise AI gateways, two operating models.

Kong AI Gateway is a suite of ~26 AI plugins on Kong Gateway — the most complete AI offering among the API gateway incumbents, with most of it behind the Enterprise tier. Apinizer AI Gateway is a module of the Apinizer platform: guardrails, budgets, RAG, MCP and A2A governance run in-process, in one license, fully on-prem. This AI-only report goes deeper than our full platform comparison.

29 AI gateway capabilities compared In-process guardrails vs plugins + sidecar services One license vs Enterprise-gated plugin tiers

Executive Summary

The strongest incumbent — priced and packaged accordingly

Kong fields a genuinely broad AI portfolio: seven routing algorithms, a wide endpoint surface, REST-to-MCP generation, and an A2A proxy. The trade-offs sit in packaging and architecture: nearly every AI security and analytics plugin is Enterprise-gated, PII sanitization runs as a separate sidecar service, and Konnect plans meter unique LLM models. Apinizer ships the whole AI surface in one license, with guardrails executing inside the gateway process.

◆ Apinizer AI Gateway

All AI capabilities in one licensed platform: native streaming-safe guardrails, Turkish PII, token/USD budgets, local RAG, MCP governance, and an A2A gateway with task lifecycle — control and data plane on-prem.

▲ Kong OSS + Konnect

Basic AI Proxy, prompt guard, and templates are free. Konnect Plus caps AI at 5 unique LLM models with per-model add-on pricing; advanced AI plugins remain out of reach without Enterprise.

■ Kong AI Gateway Enterprise

The full suite: advanced routing, PII sanitizer (with sidecar service), semantic guard and cache, RAG injector, token rate limiting, MCP, and A2A. Powerful — at custom annual Enterprise pricing.

1License covering every AI capability
0Sidecar services in the guardrail path
12PII types masked in-stream, checksum-validated
29Capabilities compared

Architecture & Approach

Four dimensions, close scores, different costs

Both products can run fully on-prem and both govern LLM, MCP, and A2A traffic. The differences are in how capabilities execute, how they are packaged, and how much operational surface they add.

🛡

Guardrail Execution

ApinizerPII masking, PromptGuard, topic guard, and DLP/context integrity execute inside the gateway process — streaming chunk-boundary safe, INLINE/ASYNC/SHADOW modes, no extra deployments.
KongPII sanitization requires a separate self-hosted AI PII Anonymizer Service container (600MB+ free memory per container). Prompt Guard is regex-based; ML injection detection delegates to Lakera, Bedrock, Azure, or Model Armor integrations. Semantic guard needs its own vector DB.
⚖

Packaging & Licensing

ApinizerOne commercial license covers the AI gateway and the API platform around it — guardrails, budgets, RAG, MCP, A2A, analytics included.
KongOSS covers basic AI Proxy and prompt templates. PII, semantic guard/cache, RAG, token rate limiting, MCP, and A2A are Enterprise-gated; Konnect Plus caps AI at 5 unique models with $100/model/month add-ons.
◇

Routing & Endpoint Surface

Apinizer7 routing algorithms, including least-cost, least-latency, and prefix affinity, condition policies with Groovy/JS, and an in-gateway multi-turn tool-call loop (maxToolTurns) — plus chat, embeddings, audio, image, and /v1/responses endpoints.
Kong7 algorithms (Enterprise) including semantic and priority-tiered failover with cross-provider format mixing — the broadest routing engine in the category — and 13–14 route types reaching into video generation and realtime. No in-gateway agent loop.
⌘

Agent Protocols & Knowledge

ApinizerMCP proxy with governance (drift detection, quotas, argument constraints); A2A gateway with task lifecycle and streaming relay; RAG as a product — knowledge bases, PDF ingestion, multi-tenant VectorDB isolation.
KongStandout REST→MCP auto-generation with OAuth 2.1 — ideal for large API estates. The A2A proxy observes and meters but "operates without managing task state." RAG Injector retrieves and injects context; it is not a knowledge-base product.
In short: Kong's AI suite is broad and credible — the question an evaluation must answer is what it costs to assemble and license the full picture. Apinizer's answer is structural: the full picture is the product.

At a Glance

Summary comparison

A side-by-side view of the three options at the positioning and focus level.

Criterion Apinizer AI Gateway Kong OSS / Konnect Kong AI Gateway Enterprise
Positioning AI gateway module of an all-in-one API platform Basic AI Proxy plugins on the OSS gateway ~26-plugin AI suite on Kong Gateway
On-prem / air-gap Both planes on-prem; air-gap primary scenario Gateway yes; Konnect CP is SaaS-only Self-managed CP+DP fully on-prem
Guardrails Native in-process; streaming-safe Regex prompt guard only Plugins + PII sidecar + integrations
Model catalog terms Unlimited; 26 providers / 185 models + custom Konnect Plus: 5 models, $100/model/mo add-on Unlimited (custom annual pricing)
Budgets Token + USD per owner tier None Token/cost rate limits; no USD budget wallet
Primary focus Regulated, closed-network AI adoption in one product Trying AI routing on existing Kong infra Platform teams standardizing AI on Kong

Deep Dive

AI gateway capability matrix

29 capabilities from deployment to protocol governance. The Apinizer column reflects the platform capability matrix; the Kong column is compiled from developer.konghq.com documentation (September 2026; Kong Gateway 3.14 LTS and AI Gateway 2.0) and notes tier gating where documented.

★ Differentiator (MOAT)

The whole AI surface, in-process, in one license

Kong's PII sanitizer is real — and it is an Enterprise plugin calling a separate sidecar service you deploy per data plane. Kong's semantic guard is real — and it needs its own vector DB. Apinizer runs the equivalent controls inside the gateway, licensed once, with Turkish identifiers validated by checksum rather than shipped as a language pack.

No Sidecar FleetPII, injection, topic, and DLP guards execute in the gateway process — nothing extra to deploy, size, or patch per data plane.
Turkish PII, ValidatedTCKN checksum and IBAN-TR mod-97 validators with a TR preset — documented behavior, not an undocumented language model.
A2A With Task LifecycleApinizer's A2A gateway manages task lifecycle and streaming relay; Kong's A2A proxy documents itself as observing without managing task state.
Native / full Partial / Enterprise-gated / sidecar / integration None / not documented MOAT
Capability Apinizer AI Gateway Kong AI Gateway
Positioning & Deployment
Product type AI gateway module of an enterprise API Management platform (Java); one runtime for API and AI traffic AI plugin suite on Kong Gateway (OSS/Enterprise/Konnect); AI Gateway 2.0 (GA July 2026) adds its own runtime, control plane, and Admin API
Self-host / on-prem On-prem is the primary scenarioAir-gap friendly; both planes in-network Self-managed Enterprise: CP+DP on-premKonnect control plane is SaaS-only
License / access Commercial; all modules in a single license OSS core; AI suite mostly EnterpriseKonnect Plus: 5 LLM models, $100/model/mo add-on
Models & Endpoints
Provider / model catalog 26 providers / 185 modelsCustom providers and models added from the UI 19 providers, passthrough modelsNo per-model catalog; Konnect plans meter unique models
OpenAI-compatible single endpoint Yes Yes; native provider formats since 3.10
Multi-modal endpoints Chat, embeddings, STT/TTS, image, /v1/responses 13–14 route types incl. video gen, realtimeCoverage varies by provider
Routing & Resilience
Load balancing / failover / retry Yes 7 algorithms + cross-provider fallbackAdvanced algorithms are Enterprise
Cost- & latency-aware routing least-cost / least-latency among 7 algorithms lowest-usage (tokens/cost) + lowest-latencyEnterprise
Conditional / content-based routing Condition policies + Groovy/JS scripting Semantic + priority + expression routingSemantic algorithm is Enterprise
Agentic tool-call loop in the gateway In-gateway multi-turn tool-calling (maxToolTurns) Not documented — loop stays client-side
Guardrails & Privacy
PII detection & masking Native in-process; 12 checksum-validated typesApplied at request and streaming-chunk level; reversible for authorized roles, deny-by-default AI PII Sanitizer + separate sidecar serviceEnterprise; the separate container needs 600MB+ free memory
Turkish PII (TCKN / IBAN-TR / phone) Native validators + TR preset MOAT Generic Turkish NER (`-tr` model); no TCKN/IBAN-TR validatorsCustom regex for checksum-specific gaps
Prompt injection / jailbreak protection PromptGuard — INLINE / ASYNC / SHADOW Regex guard; ML via Lakera/Bedrock/Azure integrations
Topic guard Allow/deny by embedding similarityPlus 14 AILuminate hazard categories, extendable from a catalog AI Semantic Prompt GuardEnterprise; requires own vector DB
DLP / context integrity Context-integrity policy + DLPStructural control for OWASP LLM Top-10 #1; HIPAA Safe Harbor + PCI DSS rule packs Building blocks; no unified DLP policy
Guardrails on streaming (SSE) Chunk-boundary safe Constrained; documented for input-side guarding
Cache, RAG & Knowledge
Exact + semantic cache Exact (Hazelcast) + semantic (VectorDB similarity) AI Semantic Cache — exact + semanticEnterprise; Redis/pgvector required
Local RAG + knowledge base + VectorDB Knowledge bases, PDF ingestion, multi-tenant isolation RAG Injector — retrieval, not a KB productEnterprise; no document ingestion management
Quota, Budget, Identity & Access
Budgets + quotas Limit Plans enforced with 429 + Retry-AfterToken or USD ceilings across 6 scope tiers — platform default, anonymous, consumer/API client, organization chain, API proxy, project; bulk assignment Consumers + token/cost rate limitsNo USD budget wallet documented
Cost tracking & reporting 8 breakdownsPerson / project / team / deployment; organization-hierarchy rollup report and Management API FinOps usage endpoints Per provider/model/consumer/workspaceDashboards live in Konnect
LDAP / OIDC identity sync LDAP/AD and OIDC (Keycloak) identity sourcesUsers, groups, and roles imported as consumers; run history and reconcile preview; API Clients as typed machine identities Admin-plane LDAP/OIDC; no consumer sync
RBAC / role-based access 3 asset categories, 4 AI roles Workspaces + RBACEnterprise / Konnect teams
Protocol Gateways
MCP gateway First-class proxy + governanceDrift detection, quotas, argument constraints REST→MCP auto-generation + OAuth 2.1Enterprise; strong for large API estates
A2A (Agent2Agent) gateway First-class proxyTask lifecycle, streaming relay A2A Proxy — observe/meterDocumented as not managing task state
Prompt Management & Observability
Prompt templates / decorators Decorators + 9 responsible-AI presets + gateway-expand Prompt Template + Decorator pluginsConfig-based; no versioned registry UI
Tracing / logging AI Trace — DAG, replay, timeline Token/cost/latency stats + payload logs
Prometheus / OpenTelemetry Prometheus + OTel GenAI semantic conventions Prometheus ai_metrics + OTel
Enterprise deployment model Save≠deploy, rollback, export/import, APIOps decK GitOps + Terraform/KIC/Operator
Network Security Fit
Closed-network / "broker" architecture fit Single in-network policy point MOATDLP and PII enforced before traffic leaves the segment Air-gappable with self-managed EnterpriseKonnect-only features unavailable offline
Sources: The Apinizer column reflects the platform capability matrix; the Kong column is compiled from developer.konghq.com documentation and konghq.com pricing as of September 2026 (Kong Gateway 3.14 LTS and AI Gateway 2.0). Tier gating is stated where the documentation states it; Kong's packaging changes between releases — verify before purchase decisions.

Strengths

What does each product do best?

◆ Apinizer advantages

  • One license, whole surface: Guardrails, budgets, RAG, MCP, A2A, and analytics without Enterprise gating or per-model metering.
  • In-process guardrails: No PII sidecar service, no external vector DB prerequisite — streaming chunk-boundary safe with three execution modes.
  • Turkish PII, validated: TCKN checksum and IBAN-TR mod-97 with a TR preset — documented, not inferred from a language pack.
  • Monetary budgets: Token and USD ceilings per owner tier, beyond token/cost rate limits.
  • RAG as a product: Knowledge bases with PDF ingestion and multi-tenant VectorDB isolation, not retrieval injection alone.
  • A2A with task lifecycle: Managed tasks and streaming relay, not observe-and-meter.
  • In-gateway agent loop: Multi-turn tool-calling (maxToolTurns) runs at the gateway.
  • Consumer identity: LDAP/AD and OIDC (Keycloak) identity-source sync plus API Clients — for the people and machines calling the models, not just gateway admins.

▲ Kong AI Gateway advantages

  • Broadest routing engine: 7 algorithms including semantic and priority-tiered, with cross-provider format-mixing fallback.
  • Widest endpoint surface: 13–14 route types spanning realtime, audio, image — and video generation.
  • REST→MCP at scale: Auto-generate MCP tools from existing Kong-managed APIs with OAuth 2.1 enforcement.
  • A2A shipping today: One of the few gateways with an Agent2Agent proxy plugin in production.
  • Battle-tested substrate: Kong Gateway's RBAC, workspaces, hybrid mode, and massive plugin hub underneath.
  • GitOps maturity: decK declarative sync/diff, Terraform, Ingress Controller, Operator.
  • Self-hostable PII service: The sidecar runs in your network — 9 language images including Turkish, 15 PII categories plus custom patterns.
  • Air-gap option: Self-managed Enterprise keeps control and data plane fully inside the perimeter.

Decision Guide

Which one, and when?

The most evenly matched enterprise pairing in this series. Decide on packaging economics and guardrail architecture; both clear the on-prem bar.

Choose Apinizer if…

One product, one license, guardrails in the gateway

  • You want the full AI surface — guardrails to A2A — without Enterprise plugin gating
  • Turkish PII must be validated (TCKN checksum, IBAN-TR), including in streams
  • You'd rather not deploy and size sidecar services and vector DBs per guardrail
  • Budgets must be monetary (USD) per user, team, and project — not rate limits alone
  • RAG needs knowledge-base management, not just retrieval injection
  • A2A traffic needs managed task lifecycle, not observation alone
  • You want API and AI governance converged in one platform and one audit trail

Choose Kong AI Gateway if…

Kong-standardized platform teams with Enterprise budget

  • You already operate Kong at scale and want AI added to existing GitOps pipelines
  • Exposing a large REST estate to agents as MCP tools is the headline use case
  • You need semantic routing and video/realtime endpoint coverage today
  • Your team prefers decK/Terraform-driven config over a management UI
  • Enterprise licensing — and assembling Redis/pgvector/sidecar dependencies — is acceptable
Bottom line: Kong AI Gateway is the strongest AI offering among the API gateway incumbents — broad routing, MCP generation, real A2A. Apinizer competes on integration economics and depth where regulated buyers feel it: in-process streaming-safe guardrails, validated Turkish PII, USD budgets, knowledge-base RAG, and task-lifecycle A2A — in one license instead of an Enterprise plugin ladder.
A note on sources: Apinizer capabilities reflect the platform's internal capability matrix. Competitor capabilities were compiled from each vendor's public online documentation — to the extent we could find and verify it at the time of writing — and may be incomplete or become outdated as products evolve. Nothing here is a claim about undocumented behavior. If you spot an inaccuracy, let us know and we will correct it.

This document is for comparison purposes. Kong is a registered trademark of Kong Inc.; the assessments here are based on public documentation and pricing as of September 2026 and may vary by version/tier/configuration. © Pruvasoft / Apinizer.