Arbitex Gateway vs. LiteLLM
LiteLLM is an open-source Python library and proxy for routing LLM requests across providers. It is fast to prototype with, free to use, and has no SOC 2, no compliance bundles, no enterprise support model, and no vendor accountability. For regulated financial institutions, that last point is not a configuration gap — it is a vendor risk disqualifier before the technical evaluation begins.
Feature Comparison
| Capability | LiteLLM | Arbitex Gateway |
|---|---|---|
| SOC 2 vendor attestation | ✕ Open-source project maintained by a small team — no SOC 2 Type 2 report; hard disqualifier at vendor intake for financial institutions with vendor risk management requirements | ✓ Designed with SOC 2 alignment — purpose-built AI governance infrastructure with the vendor relationship, attestation posture, and audit documentation that enterprise vendor risk programs require |
| Pre-built compliance bundles (GLBA, SOX, BSA/AML, SEC Reg FD) | ✕ Zero native compliance framework coverage — no GLBA, SOX, BSA/AML, or SEC Reg FD mapping; every compliance control must be custom-built by the institution's engineering team and becomes the institution's own regulatory liability | ✓ 12 compliance frameworks enforced as executable policy at the model boundary — GLBA, SOX, BSA/AML, SEC Reg FD, HIPAA, PCI-DSS, GDPR, and more; activate a framework and enforcement begins immediately |
| Tamper-proof audit logging | ✕ No cryptographic audit chain — any logging must be custom-built by the institution; custom logs are the institution's compliance liability in every subsequent regulatory examination | ✓ tamper-proof audit log — every request, every enforcement decision captured in a cryptographically verifiable, immutable record structured for SEC, FINRA, and OCC examination |
| Real-time DLP inspection (80+ patterns, ML-based entity recognition) | ✕ No DLP layer — no pattern matching, no ML-based entity recognition, no enforcement at the model boundary; sensitive financial data reaches AI providers without inspection or record | ✓ 80+ pattern detectors + ML-based entity recognition — dual-method DLP inspects every request and response; MNPI, NPI, and PII flagged or blocked before reaching any AI provider |
| Compromised credential detection | ✕ No credential breach detection — AI traffic is not inspected for leaked or compromised credentials; stolen API keys or session tokens in AI workflows go undetected | ✓ Every request and response checked against a compromised credential dataset in real time — sub-millisecond, in-process; relevant to GLBA Safeguards and SEC Reg FD incident documentation requirements |
| RS256-signed OAuth tokens with JWKS key discovery | ✕ No token signing model — LiteLLM passes through API keys as shared secrets; no JWKS endpoint, no kid-based key rotation, no standard credential security model for M2M authentication | ✓ RS256 asymmetric signing — private key signs, public key verifies via JWKS endpoint at /.well-known/jwks.json; zero-downtime kid-based key rotation; standard JWT library compatibility |
| Enterprise observability (OTel, Grafana, Prometheus, 7 SIEM connectors) | ✕ Developer-grade usage records for engineering teams — not the observability stack a financial services enterprise SOC requires; no native SIEM connectors, no enterprise alerting framework | ✓ OpenTelemetry auto-instrumentation, Grafana dashboards, Prometheus alert rules, and 7 native SIEM connectors — Splunk, Sentinel, Elastic, Datadog, Sumo Logic, IBM QRadar, Cortex XSIAM |
| Enterprise support model and vendor accountability | ✕ No SLA, no vendor accountability, no support contract — when the CISO's office asks who is responsible for security controls on the AI routing layer, the answer is the institution's engineering team | ✓ Purpose-built enterprise AI governance with a vendor relationship behind every compliance control — vendor-supported, vendor-maintained, designed for OCC and SEC examination accountability |
Where Arbitex Gateway Wins
No SOC 2 is a vendor intake disqualifier, not a roadmap item
LiteLLM is an open-source project maintained by a small team. There is no SOC 2 Type 2 report. For any financial institution with vendor risk management requirements — which includes every OCC-supervised bank, broker-dealer, and registered investment adviser — this is a hard disqualifier at the vendor intake stage, before any technical evaluation begins. The conversation about LiteLLM's capabilities does not happen because LiteLLM does not clear the initial vendor risk review. Arbitex is purpose-built enterprise AI governance infrastructure with the vendor relationship and attestation posture that vendor risk management programs require.
DIY governance controls are your compliance liability
Any compliance controls built on top of LiteLLM become the institution's own compliance liability. Every GLBA Safeguards rule, every SOX audit trail requirement, every SEC Reg FD record retention control has to be custom-built, custom-maintained, and documented by the institution's engineering team. Those custom controls are in scope for every regulatory examination with no vendor accountability behind them. When the OCC or SEC asks who is responsible for the AI governance controls — what remediation rights the institution has if they fail, and who can produce documentation of their design and testing — the answer is the engineering team that built them, not a vendor that supports them.
Observability tells you what happened — governance prevents what should not
LiteLLM provides developer-grade usage records: request routing, provider distribution, token counts. These are engineering metrics. They tell an engineering team what requests were made. They do not tell a compliance officer that NPI was inspected at the wire, that MNPI-adjacent content was blocked before reaching an AI provider, that compromised credentials were detected in AI traffic, or that the audit record is tamper-evident. Arbitex inspects every request and response in real time — 80+ pattern detectors combined with ML-based entity recognition — and every enforcement decision is captured in a cryptographically verifiable tamper-proof audit log that survives regulatory examination.
No credential security model for M2M authentication
When LiteLLM acts as a proxy, it passes through API keys — shared secrets that cannot be scoped, rotated without distribution, or verified using a standard JWKS endpoint. There is no token signing model, no kid-based key rotation, and no way for a downstream service to verify that a token came from an authorized source without sharing the same secret. Arbitex issues RS256-signed OAuth tokens with full JWKS discovery and zero-downtime key rotation. For financial institutions evaluating AI infrastructure under their vendor risk management program, the absence of a standard credential security model in LiteLLM is a hard gap — not a configuration question that a development team can close.
Related Resources
The "free" tool has a cost when your next examination asks about AI governance.
Arbitex ships compliance bundles, tamper-proof audit logging, and enterprise observability as production-grade governance infrastructure — with a vendor relationship your examiner can evaluate.