Retention period
A documented, specific duration (or a defined trigger event and duration) after which a category of personal data must be deleted, anonymized, or moved into a lawful archiving exemption. The absence of a documented retention period is itself treated by regulators as a failure, not a neutral default.
Defined in 5 GAGE programs, which carry 7 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
A documented, specific duration (or a defined trigger event and duration) after which a category of personal data must be deleted, anonymized, or moved into a lawful archiving exemption. The absence of a documented retention period is itself treated by regulators as a failure, not a neutral default.
The length of time the trail is kept before deletion, set as a decision that balances the record-keeping duty (a legal minimum, for example at least six months for high-risk systems under the EU AI Act) against the privacy cost of holding personal data longer than needed.
The length of time an organization keeps an audit record, disclosure form, or gate score after the underlying content is taken down or the audit cycle closes, set long enough to cover a realistic window for a regulator to request historical evidence.
The length of time audit-trail records must be kept, set to match the longest relevant record-keeping rule and statute of limitations. A log deleted before its retention period expires cannot be produced when discovery arrives.
How long a retired instrument is kept in the archive, taken from the organization's records schedule rather than decided by the policy function.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The "we have always had this data" trap: age does not launder a dataset · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- The retention decision: what you must keep, what you must destroy, and proving both · Data Reality, Certified AI Governance Professional (CAIGP)
- The agent audit trail: logging actions so you can reconstruct any decision it made · Agents Under Command, Certified AI Governance Professional (CAIGP)
- The logging architecture: what your organization's systems must record, for whom, for how long · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- Building the Audit-Ready AI Program · Lab: Regulated Industries, Certified AI Transformation Professional (CATP)
- Labeling Compliance Audits · AI Content Labeling, Certified China AI Regulatory Professional (CCARP)
- Policy lifecycle and ownership · Policy, Standards, Procedures, and Exceptions, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
Where it shows up at work
A definition is where Retention period starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
3 lessons on this page teach it as a primary outcome.
Scopes an AI audit, sets criteria, samples, interviews, tests, writes findings with condition, criteria, cause, effect and recommendation, and tracks remediation.
2 lessons on this page teach it as a primary outcome.
Writes policies with scope, responsibilities, requirements, exceptions and evidence, so people can follow them and auditors can test them.
2 lessons on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Audit Executive, AI audit editionneeds it at depth
- AI Auditorneeds it at depth · 9 open postings this week
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- AI Governance Coordinatorneeds working knowledge
- Governance Analystneeds working knowledge · 6 open postings this week
- Security Compliance Managerneeds it at depth · 4 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5; Global Internal Audit Standards; ISO/IEC 42001 Clause 9.2.
One interview question about it
What evidence would you have ready before an auditor asks about an AI system, and how do you produce it as a byproduct of the work?
Asked of candidates for evidence collection and audit-ready documentation. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
- Internal audit and IT audit carries it as work you can show: Evidence evaluation is the profession.
- Project and program management carries it as a claim to back up: Decision logs and repositories are familiar.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.