Enterprise AI doesn't fail in deployment.
It fails before it begins.
When the questions turn to data, access, residency, auditability, and legal reliance — evidence has to lead.
REKHAA is the evidence layer for enterprise AI trust. It maps data flows, access controls, vendor commitments, and deployment routes into reviewable evidence that security, legal, and architecture teams can stand behind.
Four ways into REKHAA
I have serious concerns about data privacy
Your legal team is asking where the data goes. Your DPO wants a DPIA. Your CISO won't approve anything that touches a US cloud. Start here.
Explore the concernsI need to understand how the architecture actually works
You want to know precisely where inference happens, who can see the data, and what "governed perimeter" actually means in technical terms.
Read the architecture answerI need something specific to share with my team
A DPIA template for your DPO. A threat model for your CISO. A compliance matrix for your legal team. Browse 16 purpose-built artifacts.
Browse the libraryI want to talk to someone who has done this before
Book a 60-minute deep dive with us — your regulatory context, your stack, your data classification requirements. Or request a live demo in your environment.
Talk to usThe confidence infrastructure that makes enterprise AI deployable
Enterprise AI adoption doesn't stall because the technology isn't ready. It stalls because the confidence infrastructure isn't there. Your CISO needs to know where the data goes. Your DPO needs a DPIA. Your lawyers need to understand the contractual chain.
REKHAA is our answer to that gap — a complete set of architecture explanations, regulatory templates, interactive tools, and live demonstrations that let you inspect the controls rather than accept the claims.
Built by our team at Tarento. Grounded in verified citations from AWS, Google, Anthropic, and Microsoft's own documentation. Updated as the landscape evolves.
What we give you
05 principles- 01Cited answers, not claims
Every statement is backed by an official source URL — AWS docs, Google Cloud blog, Anthropic's own compliance page.
- 02Architecture over assurance
We explain exactly where inference happens, under whose DPA, with what isolation guarantees — so you can verify, not just believe.
- 03Regulatory-grade templates
A DPIA your DPO can take straight to sign-off. A threat model your CISO can reference in their risk register.
- 04Live, experiential proof
An audit log you can inspect in real time. A guardrails sandbox you configure yourself. A canary data exercise you run independently.
- 05Honest about what's coming
What's live today, what's being built, and what's in Phase 4. No smoke. No mirrors.
“You should not have to trust our intent. You should be able to inspect our controls.”
16 purpose-built artifacts
Citation-Ready Battle Card
Every claim, every counter, every source URL.
Provider / Model Trust Matrix
A side-by-side of who sees what, where, under whose DPA.
EU AI Act Classification Note
Map your use case to the correct risk tier.
DPIA Template (GDPR-ready)
A Data Protection Impact Assessment pre-filled for AI deployments.
Threat Model
Prompt injection, exfiltration, model abuse — and the controls for each.
Data-Flow Architecture Diagram
Inference, in pictures. Where data goes, who can see it.
Inference Decision Tree
Pick the right architecture pattern in five questions.
Prompt Redaction Examples
Before and after. PII in. Tokens out.
Compliance Matrix Tool
Map controls to GDPR, DORA, and the EU AI Act.
Audit Log Demo
Watch real inference calls flow through, in real time.
Guardrails Sandbox
Configure Bedrock Guardrails yourself. Watch them block.
Trust Sandbox
Your team. Our reference architecture. A working environment.
Canary Data Exercise
Prove the model never trained on your data.
Data Routing & Classification Policy
A template policy your team can extend.
Architecture Visualiser
Drag, drop, connect. See your AI stack and its trust boundaries.
Sovereign AI Blueprint
A reference architecture for EU-sovereign deployments.
Talk to us
Ready to go deeper? We've been here before.
Book a 60-minute deep dive with us — your regulatory context, your stack, your data classification requirements. Or request a live demo in your environment.