Protect Your Data. Govern Your AI.

Stop treating data protection as a regulatory headache. We build the ISO 27701 and NIST-aligned governance frameworks that satisfy auditors, reassure investors, and unlock global markets.

If You Can't Explain It, You Can't Scale It.

Modern reviewers, from VCs to auditors, are pausing processes when key information isn't clear. Ad hoc processes are no longer acceptable.

The Clarity Gaps:

The Operations Gap: You collect user data without a structured framework (like ISO 27701), leaving you unable to pass privacy audits or security questionnaires.
The "Black Box" Problem: You can't map your AI models to standards like NIST AI RMF, making it impossible to prove to risk teams that your models are safe.
The Transfer Gap: You want to operate globally, but you lack the standardized transfer impact assessments required to move data across borders.

The Result: Diligence cycles drag on for months because you cannot map your operations to the standards enterprise buyers require.

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Build What the Market Looks For

Diligence conversations feel overwhelming when reviewers ask for artifacts you've never heard of, like model cards or impact assessments. We bridge that gap.

How We Help: Aetos builds comprehensive governance programs aligned with ISO 27701 (Privacy), ISO 42001 (AI), and NIST standards. We connect every control to documentation, ownership, and processes that bring immediate clarity to reviewers.

Data Privacy & AI Governance: The System

Privacy Information Management

Implementing the international standard for collecting, storing, and sharing data. This creates the "PIMS" (Privacy Information Management System) auditors look for.
AI Risk Management

Operating within that foundation and mapping your models to the NIST framework to demonstrate safety, validity, and accountability.
Evidence Assurance

The documentation that proves your system aligns with these standards, supporting clearer conversations with risk teams.

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Governance Components for Review-Ready Innovation

Notice & Consent Architecture

Operational workflows for managing user notices and consent preferences aligned with privacy frameworks.
Data Inventory & Mapping

A real-time map of data types, flows, systems, and sensitivity levels required for ISO 27701 certification.
Request Fulfillment Operations

Standardized workflows to handle data subject requests (Access/Deletion) within SLA timeframes.
Model & Vendor Intake

A standardized process for documenting and assessing new AI models against NIST safety guidelines.
Human Oversight Logs

Defined reviews and escalation paths that prove a human is in the loop for high-stakes decisions.
Transparency Artifacts

Model cards and system cards that explain your AI to non-technical stakeholders.

The Documentation Auditors Hunt For:

We populate your data room with the specific artifacts that satisfy rigorous framework assessments.

Privacy Program Charter

The governing document for your PIMS.
Data Classification Matrix

How you label sensitive info against standards.
Data Flow Diagrams

The visual map of your data lifecycle.
Privacy Impact Assessments (PIA)

Operational checks for high-risk processing.
AI Risk Management Framework

Your alignment to NIST/ISO 42001.
Model Cards

Standardized disclosures for your algorithms.

A Governance Cadence That Supports Readiness

Pre-Deployment Checks

Review data flows and risk assessments before you ship a new feature or enter a new region.
Ongoing Program Review

Monitor vendor changes, new data streams, and AI model behavior to catch drift early.
Quarterly Controls Refresh

Update documentation and confirm alignment with evolving standards.

What This Work Helps Support

International Standard Alignment

Align your operations with ISO and NIST, the gold standards for global business.
Less Friction in Audits

Hand over organized documentation that satisfies third-party auditors instantly.
Confidence for High-Stakes Buyers

Clear explanations of how data and AI are handled, unlocking enterprise contracts.
Explainable Usage

Practices that are easier to describe, document, and defend to investors and boards.