Three choices were never enough for regulated enterprise AI.

A public API sends your data to someone else's cloud. A DIY platform takes 18 months and a bespoke security review. A consulting build leaves you dependent on the people who built it. Iftah is the fourth path: a productized, governed AI stack running in your own environment — operated by us, audited by you, owned by neither.

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A public API sends your data to someone else's cloud. A DIY platform takes 18 months and a bespoke security review. A consulting build leaves you dependent on the people who built it. Iftah is the fourth path: a productized, governed AI stack running in your own environment — operated by us, audited by you, owned by neither.

Why the shape wins

  • Single-tenant in your region
  • Default-deny on every AI call
View 2 more proof points
  • No standing vendor access to your data
  • Six integrated products, one governance layer

The fourth path

Faster than DIY. More repeatable than consulting. More controllable than a public API.

Each alternative forces a trade you can't afford in a regulated environment. Iftah keeps the productized spine — but the value is integration of mostly-production components plus a built governance layer, not a from-scratch rebuild.

Control

A public AI API

Answers by default and sends your prompts off-region to be served and moderated elsewhere — the exfiltration you're trying to prevent.

Iftah approach

In-region, single-tenant, default-deny. Guardrails run in your cluster and the audit trail is yours — a hosted API cannot offer this by definition.

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Time & risk

A DIY platform build

A year of security-critical plumbing — identity, policy, guardrails, audit — that you then own and have to defend.

Iftah approach

Reuse the proven, self-hosted serving and request path and wrap your existing stack; Iftah builds only the missing assurance core — no new attack surface for you to own.

Repeatability

A consulting / SI build

Leaves you a bespoke system tied to the people who built it, different at every site.

Iftah approach

One productized platform with the same default-deny baseline everywhere; only your signed overlay differs, and every change flows as signed GitOps — reproducible and attributable.

How the four paths compare on what matters to your security reviewer.

Data residency
Public AI API
Foreign cloud
DIY Build
Your choice
Consulting Build
Your choice
Iftah
In-region, your choice
Security review effort
Public AI API
Vendor SOC 2 only
DIY Build
Full bespoke
Consulting Build
Bespoke per site
Iftah
Productized baseline + delta
View 5 more comparisons
Time to governed pilot
Public AI API
Days (ungoverned)
DIY Build
12–18 months
Consulting Build
3–6 months
Iftah
12 weeks
Audit evidence
Public AI API
Vendor-generated
DIY Build
You build it
Consulting Build
SI-generated
Iftah
Inside your environment
Arabic native AI
Public AI API
Partial
DIY Build
You source it
Consulting Build
You source it
Iftah
Included
Vendor dependency
Public AI API
API lock-in
DIY Build
None
Consulting Build
SI lock-in
Iftah
None — open standards
SAMA/NCA evidence
Public AI API
Vendor attestation
DIY Build
Build your own
Consulting Build
Build your own
Iftah
Productized artifacts

The governance moat

One continuous, fail-closed control path — identity to audit.

The differentiator isn't a feature list; it's a single path where every stage refuses to weaken the next. This is the layer DIY teams get wrong and a public API can't offer.

Identity

Signed claims only
Why this control mattersView details

Your Entra ID or Okta is the source of truth; apps and agents get the same treatment. No raw keys, and context comes only from signed tokens — never a header a caller can set.

Policy

Default-deny
Why this control mattersView details

OPA allows only on an explicit, approved rule. Unknown or newly discovered models deny by default; if policy or audit is down, the request denies.

Guardrails

In-cluster
Why this control mattersView details

Presidio and NeMo run as pods in your region — never a SaaS moderation API — tuned for your domain identifiers. PHI buffers before a token can escape.

Routing

Digest-pinned
Why this control mattersView details

Approval is pinned to the model's content hash, not its name. The hook pins one approved digest, disables fallback, and records what was actually served.

Audit

WORM, fail-closed
Why this control mattersView details

Every request writes to immutable, hash-chained, in-region storage you control — and if audit can't be guaranteed, new requests deny.

Fail-closed at every stage

Fail-closed at every stage — deny on timeout, unknown, or unavailable audit. No degraded “allow” mode.

The operating model

Operated, not hosted — your house, your boundary, our audited key.

The boundary is yours: your cloud account, cluster, region, registry, and IdP. Iftah operates the install inside it — never as a managed service that holds your data.

Residency by topology

Single-tenant, in your region

A dedicated install in your own cluster and account — no shared SaaS. With models self-hosted in your own cluster and no external callbacks, no code path can carry content across a boundary.

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A governance contract

Break-glass, no standing access

Iftah operates the install remotely but holds no standing access to prompts, responses, or pods. Any content access is client-approved, time-boxed, and logged in your own trail — a hard go-live gate.

Control in, metrics out

Fleet plane: metrics only

Signed artifacts go in — Helm charts and OPA bundles; only health, latency, and version come out. They land in your own registry, so there's no outbound dependency — air-gap friendly.

Never silently default

Single-cluster default, multi-cloud optional

Local-OPA single-cluster keeps authorization fast and fail-closed. Multi-cloud and hybrid is a supported, content-free-metadata option — shipped only behind a residency assessment, never silently.

Straight talk

What Iftah AI is — and what it is not.

Precision matters more than marketing for regulated buyers. The honest boundary, matched to the architecture.

Not a public AI API

In-region single-tenant residency, default-deny governance, and an immutable WORM audit you control — not merely that it runs inside your infrastructure.

View 3 more details

Operated — not deploy-and-handoff

Not a managed cloud that hosts your data, and not a hand-off where you run it alone. Operated for you under audited, break-glass-only access.

Not a model lab — but we attest

We don't train your models. We do produce a signed provenance attestation binding what was approved to what's running, plus measured guardrail gates before PHI go-live. Evidence, not a compliance certificate.

Not a from-scratch year of work

Most of the platform is integration of proven production serving components and your existing repos; the new part is the built governance core: OPA, the enforcement hook, WORM audit, provenance, guardrails.

Next step

Review Iftah AI against your environment before choosing the first workload.

Book an architecture review