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Kenaz

Privacy Architecture Design

Build AI That Respects Privacy by Design

Your AI needs to be powerful AND compliant. We design architectures that deliver both—keeping regulators happy while your AI performs at its best.

Quick Answers

What is Privacy Architecture for AI?

A privacy-by-design blueprint: minimization, lawful basis, RBAC, encryption, logging, DPIAs.

How to make AI GDPR/HIPAA compliant?

Map data flows, minimize data, enforce access control, encrypt, log, set retention, document.

How to avoid GDPR fines?

Quarterly audits, rigorous decision/access logs, limited PHI/PII exposure, real-time breach alerts.

Timeline

≈6 weeks: 2 discovery, 2 design, 2 docs & handoff.

Security Shield

The Challenge You Face

Compliance failures block launches. The cure is privacy-first architecture, not after-the-fact fixes.

GDPR fines can reach 4% of global revenue
HIPAA violations cost up to $2M per incident
One data breach can destroy years of customer trust
Traditional AI architectures often conflict with privacy laws

What We Deliver

Privacy-by-design blueprints with enforceable controls and auditor-ready documentation.

Compliance Risk Assessment

We map your data flows and identify every compliance vulnerability before regulators do. You'll know exactly where you stand and what needs attention.

Privacy-First Architecture

Custom-designed system that processes sensitive data without exposing it. Think federated learning, differential privacy, and secure enclaves—translated into practical implementation.

Implementation Blueprint

Not just theory—detailed technical specifications, recommended technologies, and step-by-step integration guide your team can actually follow.

Regulatory Documentation

Complete compliance package ready for auditors, including data flow diagrams, privacy impact assessments, and security controls documentation.

Our Process

From mapping to deployment in ~6 weeks with measurable risk reduction.

Week 1-2

Discovery & Analysis

  • • Map your current data architecture
  • • Identify compliance requirements across jurisdictions
  • • Assess technical constraints and opportunities
Week 3-4

Architecture Design

  • • Design privacy-preserving data flows
  • • Select appropriate anonymization techniques
  • • Create security and access control framework
Week 5-6

Documentation & Handoff

  • • Prepare detailed implementation specifications
  • • Create compliance documentation package
  • • Knowledge transfer sessions with your team

Common Privacy & Compliance Red Flags

  • Unmapped data flows: No clear RoPA/DPIA, hidden third-party processors.
  • Excessive data retention: Undefined or ignored deletion policies for PII/PHI.
  • Weak access control: Missing RBAC, keys shared across teams, no audit trails.
  • Encryption gaps: No at-rest encryption, unencrypted backups, weak key management.

Who This Is For

Perfect if you're:

Processing health, financial, or personal data
Operating across multiple regulatory jurisdictions
Preparing for compliance audits or certifications
Building AI products for privacy-conscious markets
Privacy Architecture

What Makes Our Approach Different

We don't just ensure compliance—we turn privacy into your competitive edge: faster approvals, greater market trust, and scalable governance.

Ready to Build Compliant AI?