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Kenaz

Stop Worrying About Million-Dollar Fines

Your ML systems process sensitive data. One compliance mistake could cost millions in fines and destroy customer trust. We ensure your AI stays on the right side of regulations.

Common Compliance Red Flags

  • Missing RoPA/DPIA: No Records of Processing or DPIA/PIA for AI systems.
  • Unclear legal basis: No documented lawful basis for personal data processing.
  • Weak retention controls: Undefined retention/deletion, backups kept indefinitely.
  • Access logging gaps: No audit of AI decisions/data access for investigations.

Quick Answers

How to avoid GDPR fines for AI?

Perform quarterly compliance audits, maintain comprehensive AI decision/access records, strictly limit personal and health data exposure, and deploy real-time data breach detection alerts.

What do auditors expect?

Data flow diagrams, RoPA, DPIA/PIA, access/decision logs, clear retention policies, and a remediation plan.

How long does an audit take?

≈5 weeks total: 1–2 discovery, 2 assessment, 1 recommendations & handover.

What do we deliver?

Audit report, risk scoring, data flow diagrams, DPIA, retention/deletion, and prioritized remediation.

Compliance Shield

The Real Risk You're Facing

Regulators are targeting AI/ML. Proactive audits prevent fines and protect trust.

GDPR penalties: Up to €20M or 4% of global revenue
HIPAA violations: $50K to $2M per incident
Hidden exposure: Most ML teams don't realize they're non-compliant until audited
Growing scrutiny: Regulators are specifically targeting AI/ML systems

Our Compliance Audit Process

Clear, prioritized steps from deep-dive to a fix-it roadmap.

ML Process Deep Dive

We examine how your models handle personal data—from training to inference. Every data touchpoint, every model output, every storage location gets scrutinized through compliance lens.

Data Flow Mapping

Visual documentation of exactly where sensitive data lives, moves, and transforms in your ML pipeline. You'll see your compliance gaps clearly for the first time.

Risk Assessment & Scoring

Not just a list of problems—prioritized risks with business impact analysis. Know which issues could trigger fines and which are minor improvements.

Fix-It Roadmap

Concrete, actionable steps to achieve compliance. No vague recommendations—specific technical and procedural changes your team can implement.

What You Get

Auditor-ready deliverables that accelerate approvals and reduce risk.

Compliance Audit Report

  • • Current compliance score
  • • Detailed risk inventory
  • • Gap analysis against GDPR/HIPAA requirements

Data Protection Package

  • • Complete data flow diagrams
  • • Privacy Impact Assessment (PIA/DPIA)
  • • Data retention and deletion procedures

Implementation Plan

  • • Prioritized action items
  • • Technical specifications for fixes
  • • Timeline and resource requirements

Ongoing Protection

  • • Compliance monitoring checklist
  • • Update procedures for new models
  • • Audit preparation guidelines

Timeline & Process

Week 1-2

Discovery

Interview your team, analyze ML workflows, review current documentation

Week 3-4

Assessment

Map data flows, identify risks, evaluate against regulations

Week 5

Recommendations

Deliver findings, present roadmap, knowledge transfer session

Who Needs This

Critical for companies that:

Process EU or US health data
Handle financial or biometric information
Deploy ML in regulated industries
Face upcoming compliance audits

Why Act Now?

Regulators are actively hunting for AI compliance violations. Every day of non-compliance is a day closer to a devastating fine. Plus, demonstrating proactive compliance becomes a competitive advantage with privacy-conscious customers.

Secure Your ML Operations