TrueFoundry Alternatives for AI Gateway Policy Enforcement
TrueFoundry provides an AI Gateway for routing, observing, and managing access to multiple LLM providers. DeepInspect is an identity-aware enforcement proxy for HTTP traffic between authenticated callers and LLM APIs. This comparison helps buyers separate gateway operations from independent authorization and signed audit evidence for every AI request.
TL;DR
- TrueFoundry AI Gateway gives engineering teams a common gateway for model-provider access and routing.
- DeepInspect evaluates identity-aware policy on HTTP requests before an LLM receives a prompt and writes a signed audit record for the decision.
- TrueFoundry fits platform teams standardizing model access and gateway operations.
- DeepInspect fits security and compliance teams that require independent authorization evidence for each LLM API request.
TrueFoundry centralizes AI gateway operations
TrueFoundry documents its AI Gateway as a common access layer for multiple LLM providers. Its gateway documentation describes provider routing, authentication, rate limits, observability, and cost or usage controls. An engineering team can use that layer to give developers one operational interface while managing provider credentials and model selection behind it.
That is a practical platform function. A team running OpenAI and Anthropic can add Amazon Bedrock as another provider without changing the basic gateway model. The TrueFoundry AI Gateway documentation also makes the implementation focus clear: gateway configuration, providers, keys, and request flows. Those are day-to-day concerns for a platform owner.
Policy enforcement and gateway operations
DeepInspect can sit inline on the HTTP path between an authenticated caller and the LLM API behind a gateway. It resolves the human or workload identity associated with the request and also supports agent identity. It evaluates per-role and per-route policy, then classifies prompt content before issuing an allow or block outcome with redaction available before the model receives the request.
The proxy produces a signed, tamper-evident audit record for each decision. The record includes identity, policy version, classification, outcome, and timestamp, giving a reviewer evidence from a write path independent of the calling application. A TrueFoundry gateway can remain the platform's connection and routing layer while DeepInspect supplies policy enforcement at the AI request boundary. The distinction is covered in the AI gateway control-plane guide and per-decision audit records.
The separation matters during design reviews. A gateway can show that a request passed through the expected operational path. That does not, by itself, answer which identity was authorized or which policy version applied. Nor does it show what decision was recorded for that request. An enforcement proxy addresses those questions at the point where the AI request is evaluated. Keeping the responsibilities explicit also gives platform and security teams a clearer ownership boundary. One team can manage provider connections and routing. Another can review authorization evidence without relying on application logs.
Gateway features and enforcement evidence answer different questions
A gateway and a policy enforcement proxy may receive the same HTTP request, but their operating responsibilities differ.
- TrueFoundry: routes calls across model providers and gives platform teams operational controls such as authentication, rate limits, logging, and observability.
- DeepInspect: evaluates whether the authenticated caller may perform a particular LLM API action under current policy before the model sees the prompt.
- Gateway record: operational telemetry helps engineers understand use and latency, as well as provider behavior.
- Audit record: a signed per-decision record helps security and compliance teams reconstruct the authorization result for a specific request.
I would resist folding these into one generic gateway requirement. A procurement worksheet can say "policy" in one cell while hiding two separate decisions: access management for the gateway and authorization for the AI request. The architecture should state who owns each decision and where its evidence is written.
That wording also prevents a common evaluation error. Buyers may compare a gateway's visible dashboard with an enforcement system's authorization record as though they were equivalent outputs. They serve different reviewers. Engineers need to understand how traffic moves and how providers behave. Security reviewers need to verify why a request was allowed, blocked, or changed before reaching the model. The product that answers one question should not be judged as though it had answered the other.
Buyer fit for TrueFoundry alternatives
Choose TrueFoundry when the immediate goal is a shared AI Gateway for multiple providers, operational routing, usage visibility, and platform delivery. It suits an engineering organization that wants developers to call a governed gateway rather than embed model-provider integrations throughout each service.
Choose DeepInspect when the architecture needs an identity-bound authorization decision for every LLM request, including requests sent by internal services or agents. The requirement is particularly clear in a regulated environment where reviewers need to see policy state at the moment of the request. The EU AI Act Article 12 logging requirement uses traceability language that calls for that level of evidence.
The choice can also be layered. A platform team may keep the gateway that handles provider access and request routing, then place DeepInspect on the HTTP path where authorization and audit evidence are required. That arrangement avoids asking one component to prove a decision it was not designed to make. It also gives the buyer a concrete test: send the same request through the operational gateway and inspect whether the authorization record independently binds the caller, policy state, outcome, and time.
DeepInspect
DeepInspect provides an enforcement layer that can operate alongside an AI gateway. Its stateless proxy evaluates HTTP AI traffic after authentication, applies policy before the LLM receives the prompt, and commits a signed audit record for the decision. It stays focused on user or agent to LLM HTTP traffic rather than application deployment or model routing. General platform observability is outside that focus.
For a TrueFoundry evaluation, test one real request through the gateway and ask where the caller's identity is bound to its policy state and where the decision evidence is stored. DeepInspect provides the independent policy and audit component for that path. Book a technical deep dive at deepinspect.ai.