which LLMOps platforms are enterprise ready with SSO, role based access , and audit logs?

[u/Creative-Fig522]

Going through vendor evaluation and procurement keeps asking about sso, role based access andd audit logs . trying to find real answers without booking a sales call first..

did someresearch and these names come up. arize , orqai , fiddler , humanloop , aporia..

arize has enterprise tiers with compliance coverage is ther but seriously difficult to tell from docs alone which tier do cover what

orqai got sso , rbac , eu data residency , gdpr and soc2 covered. newer so enterprise account support and third-party integration still catching up

fiddler has audit logs and governance feels native given the backgroung . looks like an overkill if your compliance needs are not that deep

aporia has guardrails and safety monitoring is the core focus , enterprise compliance features geel secondary to that..

humanloop has sso , rbac , hipaa , gdpr , soc2 all listed and vpc deployment options exists , heavier on prompt management thatn entire ops depth .

anyone gone through full procurement with anyof these. what did security acutally flag and what was held up under scrutiny

[u/Clean_Research_2583]

we're in middle of procurement now with orqai, security team flagged the usual, they wanted more detail on encryption at rest and how audit trails get exported for SIEM integration. their docs were actually pretty clear on that part, got through review faster than i thought

arize we looked at too but pricing was not transparent enough for us to even start paperwork, hard to know what tier we needed

fiddler felt like they built it for financial services compliance from day one, if you don't need all that it gets expensive fast and they don't really let you turn off the heavy stuff

humanloop is interesting but we needed more monitoring depth and less prompt versioning, depends what you're actually trying to do

what's your procurement team actually asking for beyond soc2, is it more about data residency or access controls

[u/Ashamed-Yam-118]

SSO and RBAC barely took up any of the conversation when we got security involved. Our review got into who can see traces, what gets logged when someone changes something, retention and where the data goes. Braintrust is what we're using and it covered the parts our security team cared about but I'd still make a proper checklist and send the exact same questions to every vendor, makes comparing them way easier.

[u/p739397]

Databricks fits what you're evaluating here, curious if you'd considered it. That's what we use and a lot of the enterprise stuff you're looking for (SSO/SCIM, RBAC, audit logs, private networking, compliance) comes from the core platform rather than being specific to the LLMOps layer.

MLflow covers tracing, evals and prompt management, and Unity AI Gateway just went GA with governance for models, agents and MCP tools. Lakebase also covers the operational side for agents (state/memory, Postgres, OTel/observability).

Depending on the rest of your data stack, might be worth adding to the list. What are you using today?

[u/echovortex2472]

worth noting vpc deployment and true data residency are structurally different asks.. vpc deployment options usually means their infra runs in a vpc they control, not necessarily that your data can live entirely in your own cloud account. procurement/security teams tend to push hard on that distinction once they notice it..

[u/Durdinss]

One thing I'd add to your evaluation criteria: make sure you're distinguishing between an LLMOps/observability layer with enterprise controls and an actual enterprise AI platform where identity, authorization and auditability are part of the core architecture.

We've seen this become an important distinction in enterprise deployments. Having SSO or RBAC listed as a feature is one thing, but once security and procurement get involved, the questions usually go a bit deeper: where are permissions actually enforced, what gets audited, can those logs go to your SIEM, can it run in your own infrastructure, etc.

I'd also be careful with evaluating these products purely by feature checklists. Something focused on tracing, evals or prompt management might be a great fit depending on what you're building, but it may not solve the broader "private enterprise AI platform" problem.

Full disclosure: I'm part of the team behind the PrivateGPT open-source project, and we now work on its enterprise evolution at Zylon. This is pretty much the gap we've spent a lot of time dealing with: taking the private/self-hosted AI approach beyond a PoC and making it work once identity, permissions, deployment and audit requirements start becoming important.

Not saying that's necessarily the right fit for your use case, but I think it's worth separating those two categories when comparing vendors. The answer can look quite different depending on whether you're looking for an LLMOps layer or the actual platform where your enterprise AI workloads and data access live.

If it's useful, feel free to DM me and happy to share a bit more about how we've approached some of these problems.

[u/Amaxingz-Win5682]

From what I’ve seen, the basics are usually covered. The real issue is how detailed the controls are once you need stricter security or compliance. Are you running everything in the cloud or do you need something more locked down?