Every regulated sector faces the same compliance wall: capable AI models running in foreign clouds, under foreign law, with no audit trail your regulator will accept. Iftah moves the AI inside your boundary — the same governed platform across banking, government, healthcare, energy, and telecom.
Read moreاقرأ المزيدShow lessعرض أقلEvery regulated sector faces the same compliance wall: capable AI models running in foreign clouds, under foreign law, with no audit trail your regulator will accept. Iftah moves the AI inside your boundary — the same governed platform across banking, government, healthcare, energy, and telecom.
The shared wall
The most capable models are easiest to reach as someone else's hosted API — in their region, under their rules. For a federally supervised bank or a ministry holding classified records, that is a non-starter. Iftah removes the trade.
Residency
Prompts carrying customer, patient, or classified data leave the country for inference in a foreign region.
Iftah approach
Iftah pins every model and workload to an approved region, hybrid, or on-prem location — regulated data never leaves the boundary.
Audit
You cannot prove who accessed which record, defeating supervisory and audit obligations.
Iftah approach
A tamper-evident, in-region audit trail records every retrieval and decision — with prompt and response content kept in-region per the trace mode you approve — exportable for your regulator on demand.
Governance
No way to enforce policy, explainability, or human oversight across teams and clouds.
Iftah approach
One control plane governs models, access, and guardrails uniformly — ending shadow AI across every entity and cloud.
Agents
Agents running without identity, policy, or audit trail. Your CISO can't close this gap.
Iftah approach
One control plane governs every agent, model, and API call — identity-bound, policy-checked, default-deny, auditable. Every agent action is logged with context.
One platform, four ways to deploy
Place each workload where its regulator demands — and govern all of it from a single control plane. No single-cloud lock-in, one consistent policy and audit standard.
In-country
A US-based sovereign region your procurement and security teams approve.
AWS · Azure · GCP · OCI
Public clouds and private data centers at once, governed as one fleet.
Your data center
Dedicated GPUs inside your own facility — you own the silicon, the model, and the logs.
Disconnected
Fully offline installs for classified and critical environments — no external data path.
Choose your sector
Each sector page names the regulators in force, the data that cannot leave, and the workloads that ship.
the OCC · the FFIEC
AML, fraud, and underwriting AI that stays in-country or in-the US — auditable by your central bank, not your vendor.
Explore detailsNIST AI RMF · NIST · NESA
Citizen data, classified documents, and national AI programs — governed inside national boundaries, never on a foreign control plane.
Explore detailsADHICS · HAAD
Patient records and clinical AI — in-country, ADHICS-aligned, with patient data never leaving the licensed facility.
Explore detailsOT · ICS
Seismic data, production analytics, and safety AI on air-gapped operator GPUs — no external data path.
Explore detailsSovereign geodata
Subsurface data, ESG reporting, and exploration AI — in-country, on sovereign infrastructure.
Explore detailsCST · TDRA · CRF
CDRs, signaling, and subscriber AI inside the licensed network boundary — lawful-intercept aligned, NIST-mapped.
Explore detailsThe boundary holds
Whatever the industry, the data plane stays inside your perimeter. Iftah's control plane carries only content-free signals.
Your deployment boundary
Everything below stays in the region and environment you control.
Your deployment boundary
Public internet · Iftah
Nothing leaves the boundary — no prompts, data, embeddings, or model weights; only content-free control signals.
Next step
