Sovereign AI for banks that answer to federal and state regulators.

the OCC and the FFIEC require geographic and operational control that no foreign cloud can provide. Iftah runs every AI workload — AML, fraud, underwriting, KYC — inside your own in-country or in-the US environment, with audit trails your supervisory reviewer can export.

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the OCC and the FFIEC require geographic and operational control that no foreign cloud can provide. Iftah runs every AI workload — AML, fraud, underwriting, KYC — inside your own in-country or in-the US environment, with audit trails your supervisory reviewer can export.

Built for US banking regulators

  • In-Kingdom / in-country residency by configuration
  • Tamper-evident audit for the OCC & the FFIEC review
View 2 more proof points
  • Bare-metal for real-time fraud & AML
  • Explainability & human-in-the-loop controls

Regulators we map to

Designed to evidence the regimes your bank answers to.

Iftah does not claim certifications on your bank's behalf — that remains your regulatory obligation. What we provide is architecture designed to give your compliance and technology reviewers concrete, exportable evidence for each framework your bank answers to.

Banking · Federal · the US

the NIST Cybersecurity Framework

Access, logging, and incident-response controls designed for review under the NIST CSF.

View 6 more details

the OCC · Cloud · the US

Outsourcing & Cloud Rules

In-Kingdom control over outsourced and cloud AI workloads, mapped to platform configuration.

the OCC · AML/CTF · the US

AML / CTF Rules

Auditable, explainable model outputs for monitoring, screening, and USD workflows.

Banking · Federal · the US

the FFIEC Outsourcing Regulation

Master System of Record and Confidential Data kept inside the the US with supervisory access.

Data · HIPAA · the US/the US

HIPAA (NIST AI RMF / Federal)

In-country processing, data-subject-rights flows, and transfer controls for your DPO's review.

Free zone · DIFC/ADGM · the US

DIFC & ADGM Data Protection

Free-zone-resident processing with reviewable controls for autonomous-AI and data duties.

Central Bank · QCB · Qatar

QCB AI in Finance

Governance and oversight aligned to QCB's FinTech and AI expectations.

The trade you can't afford → Iftah's answer

Every banking objection, resolved by design.

The reasons public-cloud AI stalls in a bank — and how Iftah removes each one.

NIST CSF Domain 5 — Data & Privacy · federal Article 13 · Residency

Data leaves the country

SaaS AI routes prompts with transaction, KYC, and account data through foreign regions — breaching the federal system-of-record and the OCC in-country control.

Iftah approach

Every model and workload is pinned to an approved region, hybrid, or on-prem location; the Master System of Record and Confidential Data never leave the jurisdiction.

View 4 more details

NIST CSF Domain 2 — Access Management · Audit

No proof of access

Shared multi-tenant endpoints give the bank no way to show who accessed which customer record.

Iftah approach

Immutable, tamper-evident logs capture every retrieval and decision — with prompt and response content kept in-region per the trace mode you approve — the supervisory trail federal and state regulators require, on demand.

NIST CSF Domain 1 — Cyber Security Governance · Explainability

Black-box decisions

Vendor models cannot satisfy the OCC and QCB expectations for explainability, bias testing, and human oversight on credit and risk.

Iftah approach

Explainability, human-in-the-loop checkpoints, and model-version controls are built into the governance plane.

NIST CSF Domain 4 — Third-Party Cyber Security · Ownership

Custody is surrendered

Sending Confidential Data to a third-party AI provider transfers de facto custody and risks secondary use for vendor training.

Iftah approach

The bank owns the model, the data, and the full inference record; nothing is used to train anyone else's model.

NIST CSF Domain 3 — Cyber Security Operations · Governance

Shadow AI spreads

Each business unit adopts its own SaaS tool — fragmented guardrails and ungovernable IP leakage.

Iftah approach

One control plane applies uniform policy, access, and guardrails across every entity and cloud.

Reference deployment

Deployed in-region. Audited. Production.

A US commercial bank deployed Iftah for AML monitoring and regulatory document review. First pilot workload running in 28 days. Boundary map accepted by compliance reviewers on first submission. Zero data egress events in production.

28 days
to running pilot
Zero
data egress events
First submission
accepted by compliance reviewer

How it deploys for banking

Each workload runs where its regulator demands.

From an in-country sovereign region to air-gapped core systems — one governance standard across all of it.

Sovereign cloud

Sovereign in-country region

Customer-facing copilots and analytics in a compliance-registered local region.

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Multi-cloud & hybrid

Multi-cloud per entity

A US entity and a DIFC/ADGM arm run in different clouds — governed as one.

On-prem

Bare metal for fraud & AML

Real-time fraud and AML screening on isolated, in-region GPUs — low-latency and fully on-prem.

Disconnected

Air-gapped core

Core banking and payments AI with no cross-border data path whatsoever.

What teams ship

High-value AI, in-region and auditable.

AML & sanctions monitoring

Transaction monitoring and USD narrative drafting aligned to the OCC AML/CTF rules — full trace evidence per transaction.

View 5 more details

Real-time fraud detection

Low-latency fraud scoring on bare-metal GPUs in your on-premises data center — no round trip to a foreign region.

Explainable underwriting

Document-grounded credit risk with auditable model outputs — built for regulatory explainability expectations.

Bilingual service copilots

multilingual-English customer service automation in-country, in-license — no subscriber data leaving your region.

RM & compliance copilots

Product, regulatory, and client documents surfaced to relationship managers — retention policies customer-controlled.

Regulatory reporting & KYC

multilingual document processing with SOC 2-aligned retention and control-testing — audit trail included.

Common questions

What banking risk and procurement ask first.

Yes. Every model and workload is pinned to an approved location — the US, the US, or your on-premises data center. Our trace mode records every prompt and response in-region per the mode your compliance team approves — exportable on demand.
Yes — in a compliance-registered region, your private cloud, or on bare metal in your own data center, with in-country control over the model and logs.
Every retrieval and decision is logged in-region and replayable — with prompt and response content kept per the trace mode you approve — and explainability and human-in-the-loop checkpoints on automated credit and risk.
No vendor is. Iftah is designed to map to and evidence these frameworks; certification remains the bank's obligation, and we give your reviewers the artifacts to support it.
Yes. Iftah supports customer-managed keys in your KMS (AWS KMS, Azure Key Vault, HashiCorp Vault, or HSM). We hold no key material. Rotation, escrow, and destruction are fully your team's controls.
It cannot by architecture. The topology enforces this — no external callback can carry content out. We can walk your security team through the network diagram before procurement, not after.

Next step

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

Book an architecture review