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Data & Compliance

Make your data a trusted, compliant, and strategic asset — governance, privacy, and ethics by design.

Make Your Data a Trusted, Compliant, and Strategic Asset

AI sovereignty depends on the integrity of its foundation: data. Onyx helps organizations govern, protect, and activate their data while ensuring compliance with the highest international standards.

We build data governance and compliance frameworks that align with your business goals and regulatory landscape — ensuring your data remains an asset you control, not a liability you fear.

Why It Matters

Data fuels every AI system, but without proper governance, it becomes a source of risk. Privacy breaches, biased datasets, and unclear lineage undermine trust and expose organizations to legal and reputational damage.

Our Principles

Compliance by Design

Embed data protection, privacy, and transparency from the start.

Ethical by Default

Align with AI ethics guidelines and responsible data use principles.

Sustainable Data Governance

Build frameworks that evolve with regulations and technology.

Interoperable and Auditable

Full traceability across sources, models, and users.

Our Methodology

  1. 1. Regulatory Mapping. Identify obligations under GDPR, AI Act, Data Governance Act, and NIS2.
  2. 2. Data Audit & Maturity Assessment. Evaluate your current data management practices and risk exposure.
  3. 3. Governance Framework Design. Define policies, ownership, and processes that ensure accountability and traceability.
  4. 4. Compliance Implementation. Deploy privacy-preserving technologies and audit-ready documentation.
  5. 5. Continuous Monitoring. Automate reporting and auditing to maintain compliance as data and models evolve.

What We Deliver

GDPR & AI Act Compliance Frameworks

Build end-to-end governance systems to meet EU regulatory standards, including AI model explainability and data minimization.

ISO-Aligned Data Security Program

Design data management architectures aligned with ISO 27001, ISO 27701, and SOC 2 security principles.

Data Lineage & Traceability Tooling

Implement automated metadata tracking and provenance solutions to ensure transparency across datasets and models.

Responsible AI & Bias Auditing

Evaluate datasets and models for fairness, inclusivity, and compliance with ethical standards.

Privacy-Preserving Data Engineering

Apply anonymization, pseudonymization, and synthetic data generation to protect privacy without reducing data utility.

Data Residency & Sovereignty Strategy

Define and deploy architectures that keep sensitive data under national or organizational control.

Trust Starts with Data

Transform compliance into confidence and governance into growth.