Enterprise comparison / Agent Access Manager vs Kong

API gateway controls are foundational. Agents need action-level authority.

Compare a mature gateway and plugin platform with an AI-native control architecture centered on agent identity, tools, credentials, and autonomous outcomes.

Architecture comparison based on publicly documented product focus. Validate current editions during evaluation.

Kong

Gateway pattern

Typical Kong AI proxy route

01_format_version: "3.0"02services:03  - name: enterprise-llm04    url: https://api.openai.com05    routes:06      - name: chat-completions07        paths: [/ai/v1]08    plugins:09      - name: ai-proxy-advanced10        config:11          targets:12            - route_type: llm/v1/chat13              model: { provider: openai, name: gpt-4.1 }14 15# Gateway plugins govern API traffic.16# Agent tool grants require an additional model.

Tool authorization remains downstream

Agent Access Manager

Secretless policy

Decoupled agent identity and runtime action policy

01apiVersion: access.envisionai.dev/v102kind: AgentPolicy03metadata:04  name: finance-analyst-readonly05spec:06  identity:07    workload: spiffe://prod/agent/finance-analyst08  models:09    allow: [reasoning-high, summarization]10    budget: { daily_usd: 75 }11  tools:12    - resource: salesforce.accounts13      actions: [read, search]14      deny: [export, update, delete]15  credentials:16    injection: runtime17    expose_to_agent: false18  audit:19    record: [identity, policy, action, outcome]

Credentials withheld from agent context

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Problem / agitation / control

A model gateway can secure the request and still leave the agent over-privileged.

Enterprise risk moves beyond inference when an autonomous workload retrieves a SaaS token, calls a tool, changes a record, or exports regulated data.

Model route

Select provider, model, region, fallback, rate, and budget policy.

Workload identity

Bind the autonomous runtime to an owner, team, environment, and deployment.

Action authority

Evaluate the tool, operation, business resource, parameters, and runtime context.

Secretless execution

Inject the minimum credential at runtime without returning it to the agent.

Control capability matrix

Gateway features are only one layer of agent security.

Compare the documented Kong product focus with the planned Agent Access Manager control-plane architecture.

Control domain	Enterprise requirement	Kong	Agent Access Manager
Gateway	Multi-provider LLM routing and fallback Maintain provider resilience without changing application endpoints.	Native AI proxying, load balancing, routing, and the broader gateway plugin ecosystem are documented strengths.	Core control-plane design Policy-aware model routing and fallback are part of the planned gateway path.
Gateway	Virtual access keys, budgets, and rate policy Separate application access from provider credentials and constrain spend.	Native gateway controls Authentication, consumers, rate limiting, and enterprise gateway policy are mature capabilities.	Core control-plane design Virtual access, model entitlement, budget, and rate policy share one identity context.
Identity	Cryptographic AI agent workload identity Verify the autonomous runtime, not only the API key used by its application.	Gateway consumer identity Strong API consumer authentication exists; autonomous workload identity and ownership context require architecture choices.	Core control-plane design Every agent resolves to a verifiable workload identity, owner, team, and environment.
Authorization	Runtime tool and action authorization Evaluate the exact resource and operation before an agent executes it.	Plugin or custom policy Gateway plugins can enforce API policy, while semantic tool-resource-action grants require additional modeling.	Core control-plane design Action policy evaluates tool, operation, resource, parameters, and runtime context.
Credentials	Credential injection outside agent context Let an agent complete approved work without receiving the downstream secret.	Vault and transformation patterns Credential handling can be assembled with gateway capabilities; agent-specific secretless execution is not the central abstraction.	Core control-plane design Credentials are injected inside the controlled execution path and withheld from agent context.
Evidence	Identity-to-action audit evidence Connect delegation, policy, credential use, model traffic, tool action, and outcome.	Gateway audit and telemetry Gateway events are strong; application-level agent intent and downstream action outcomes need correlation.	Core control-plane design The evidence model links workload identity through the final authorized action outcome.

Review date: 2026-06-22. Capability labels summarize public documentation and common deployment patterns, not contractual guarantees. Confirm current plan, edition, and custom plugin support with each vendor.

Migration path / controlled evaluation

Evaluate the missing control layer without a blind rewrite.

Start from the routes, providers, and operational controls your platform team already runs. Then introduce agent identity, tool grants, and runtime credential policy at explicit boundaries.

Review Kong public documentation

01
Reuse gateway topology and enterprise identity integrations
Define success criteria, evidence requirements, rollback boundaries, and accountable technical owners before production rollout.
02
Introduce agent-specific identity and ownership context
Define success criteria, evidence requirements, rollback boundaries, and accountable technical owners before production rollout.
03
Model semantic tool grants and secretless execution
Define success criteria, evidence requirements, rollback boundaries, and accountable technical owners before production rollout.

Enterprise technical evaluation

Bring your current Kong architecture.

We will map provider routing, workload identity, tool permissions, secrets, compliance controls, and audit requirements to a concrete evaluation plan.

01 / Security architecture review

02 / Deployment and data boundaries

03 / Success criteria and migration scope

Architecture FAQ

Agent Access Manager vs Kong

Does Agent Access Manager replace every Kong capability?+

No. Kong is a broad API gateway platform. Agent Access Manager is positioned around the narrower AI execution path from workload identity through model access to authorized tool action.

Can Kong remain at the network edge?+

Yes. A layered architecture can preserve network-edge gateway policy while adding AI-native identity and action authorization closer to the agent runtime.

What does action-level authorization add?+

It expresses policy in terms of the tool, business resource, operation, and runtime context rather than only an HTTP route or gateway consumer.