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Privacy & governance

Privacy & governance

Data governance defines why information is collected, who may use it, how it moves and when it should be deleted. This topic connects inventories, accountability, security, providers and AI use. It helps document actual data flows and controls while taking account of the rules and authorities relevant to each situation.

PrivacyRiskGovernance
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How do compliance, governance and security differ? Compliance examines applicable requirements; governance assigns decisions and responsibilities; security reduces identified risks. An organisation can have a written policy while retaining excessive access or an unworkable deletion procedure.

Start with a real processing activity: who collects which data, for what purpose, with which recipients and retention? Compare the documentation with observable controls. The institutional references alongside this text help frame questions; whether an obligation applies and how it is interpreted depend on the context and jurisdiction.

In this topic

Personal data · Risk management · AI governance · Compliance · Sovereignty

Practical guides

Map data flows and responsibilities

How do you build an actionable data map? Follow one processing activity from collection through copies, exports, backups and deletion. The register describes purposes, data categories, applications, providers, access, retention, owners and control evidence. The aim is to explain a decision, handle a request and verify a change. Examples concern methodology; legal classification depends on context and should be checked against original sources.

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Intelligence watch

Open the news desk →

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References: data, uses and limitations

Documentation reviewed on .

References: data, uses and limitations
Source and purposeVerified data or benchmarkHow to use itLimitation to retain
FIRST · Traffic Light Protocol

Indicate who may receive redistributed information.

TLP 2.0 uses RED, AMBER, GREEN and CLEAR; AMBER+STRICT restricts sharing to the recipient organisation. Labels must not be translated. Keep the marking with the information and check recipients before forwarding. Ask the source to clarify any ambiguity.

Explore the method →

TLP is neither a formal classification nor a reuse licence. It does not guarantee content accuracy.
NIST · AI Risk Management Framework

Organise management of AI-related risks.

The AI RMF Core is organised around Govern, Map, Measure and Manage. It is a voluntary risk-management framework. Define intended use, affected people and error consequences. Connect each risk to an evaluation, owner and stop or recovery mechanism.

Explore the method →

The framework certifies neither a model nor an application. Using it does not remove the need to examine applicable requirements.
NIST · Privacy Framework

Examine risks to people arising from data processing.

The Privacy Framework is a voluntary privacy risk-management tool. It is distinct from a universal legal compliance checklist. Describe actual processing: data, purposes, recipients, access and retention. Compare documents, settings and deletion or retrieval tests.

Explore the method →

Using the framework alone does not determine compliance with applicable law. Processing context and jurisdiction still need examination.

Publication and visibility in AI search

Assign publication decisions to an owner

Public publication and private access require different evidence. Snippet and AI participation choices must be linked to the relevant service and property.

  • Record owner, scope, effective choice and inherited publication settings.
  • Protect private resources through authorisation; robots.txt publicly reveals listed paths.
  • Date acceptance evidence and review documentation again when the service changes.

Compare AI controls and report data →

References reviewed

security.txt and disclosure

Preserve contact scope when domains change

A migration, provider delegation or subdomain change can make a disclosure channel ambiguous. Domain governance should therefore include publication and review of security.txt.

  • Check each relevant host: a parent domain’s file does not automatically apply to its subdomains.
  • Compare Canonical URIs with actual retrieval and document provider redirects.
  • Review contacts, keys, policy and expiry when responsibility transfers; preserve older versions as history.

Read the security.txt reference and disclosure cases →

Sources checked on · IETF · RFC 9116 · §2.5, §3, §5