The Concerns

We know what's stopping you. These are not objections.

They are legitimate questions that deserve precise answers — the kind your DPO, CISO, and counsel will need before any enterprise AI workload leaves the lab.

Rekhaa was built to answer them with architecture, not with assurance. Open each concern. Walk the journey. Take the artifact.

Confession Wall

Five concerns. Open each one.

Every concern lands in three parts: what is actually happening, what we do about it, and which artifacts apply.

01Data privacy and residency

“We can't put regulated data into a US-controlled model.”

What's actually happening

Your DPO needs to know exactly where inference happens, under whose Data Processing Agreement, and what the provider can see, store, or train on. Most vendor pages answer none of that.

What we do about it

We document the inference path end-to-end — region, account boundary, DPA chain, retention windows, training carve-outs — sourced from each hyperscaler's own compliance pages, not our marketing.

02Architecture opacity

““Governed perimeter” doesn't mean anything until I see the diagram.”

What's actually happening

Vendors hand you a phrase. Your CISO needs a topology — VPC boundaries, identity flow, key custody, egress controls — that maps to your existing reference architecture.

What we do about it

We publish the actual data-flow diagram, the inference decision tree, and an architecture visualiser tuned to AWS Bedrock, GCP Vertex, and Azure Foundry. You inspect the controls, not the claims.

03Regulatory exposure

“GDPR, DORA, EU AI Act — and we don't know which clauses bite first.”

What's actually happening

Each framework lands on a different team and a different artifact. Without a clause-by-clause map, legal blocks deployment and engineering treats it as a black box.

What we do about it

We provide a compliance matrix that walks each obligation to the exact control, document, and owner — plus an EU AI Act classification note and a threat model your CISO can drop into a risk register.

04Vendor and model lock-in

“If we pick wrong, we're stuck on one provider's pricing and one model's quirks.”

What's actually happening

Locking into a single hyperscaler or single foundation model means re-platforming when prices shift, regulation tightens, or a better model ships next quarter.

What we do about it

Our reference patterns deploy across AWS, GCP, and Azure with the same governance contract, and the Sovereign AI Blueprint covers in-region and on-prem fallbacks for the highest-sensitivity workloads.

05Internal credibility

“I need something my CISO, DPO, and legal team will actually sign.”

What's actually happening

A confident demo doesn't survive a risk committee. The artifacts that move enterprise AI forward are the ones your second line of defence can review without asking us to translate.

What we do about it

Every Rekhaa artifact is written to sign-off grade — citation-backed, regulator-aligned, ready to paste into your DPIA, risk register, or board memo. Take them straight to your team.

01/05

Trust Journey Map

From legitimate concern to governed deployment.

See the artifacts

01
Concern
Name the legitimate question your team is actually asking.
02
Inspection
Open the architecture, the DPA chain, and the regulatory map.
03
Artifact
Take the document your DPO, CISO, or counsel can sign off.
04
Deep dive
Walk it through with EVA against your stack and data class.
05
Deployment
Ship inside a governed perimeter you have personally inspected.

You should not have to trust our intent. You should be able to inspect our controls at every step.

Inline Diagnostic

Eight questions. Your concern profile, mapped to artifacts.

We do not score you. We translate your situation into the specific governance artifacts that move it forward — and the concerns they answer.

Question 1 of 8

01 — Your sector

Which sector are you operating in?

Regulated or not, the sector shapes which frameworks, data classes, and trust questions land first.

Pick one to continue — nothing is submitted yet.

Next step

You've read the concerns and run the diagnostic. The next move is a direct conversation.

Talk to us Browse the library