Accountable owner for digital trust
A named individual is accountable for the digital trust programme, with the authority and budget to direct it.
DTCF normalises what an organization must achieve into 22 objectives across 10 families, then maps each to the frameworks practitioners face. Mappings are graded: fully addressed, partially addressed, or deliberately absent with the reason recorded. An empty cell is a finding about the framework, not a gap in your programme.
DTCF 2026.1 · published 10 Sep 2026 · CC BY 4.0 · free to use with attribution
A named individual is accountable for the digital trust programme, with the authority and budget to direct it.
Policies covering the organization's obligations are approved, dated, owned and reviewed on a stated cycle.
Security, privacy and compliance responsibilities are assigned and communicated to the people who hold them.
Expected conduct is published and affirmed by staff on joining and annually.
Risks to objectives are identified and assessed on a defined cadence and on material change.
Risks are recorded with inherent and residual judgement, an owner, a treatment decision and a review date.
Risk appetite is stated in terms someone can measure, with indicators and thresholds that trigger action.
Legal, regulatory and contractual obligations that apply are identified, owned and kept current.
What is in scope for each framework or certification is decided, justified and recorded, including deliberate exclusions.
People receive role-relevant training on joining and at a defined cadence, and completion is evidenced.
Data held is inventoried, classified and assigned an owner.
Security-relevant events are logged, retained and reviewed, with alerts that reach a person who acts.
Third parties with access to data or systems are inventoried with an owner and a criticality judgement.
Third parties are assessed before onboarding and periodically thereafter, at a depth proportionate to what they touch.
An incident response plan exists, names roles, and is exercised.
AI and automated decision systems in use are inventoried with purpose, owner, data and risk classification.
AI systems are assessed for harm, bias, robustness and transparency before use, and the assessment is revisited on change.
People affected by automated decisions are told, and a competent person can intervene.
Every control has one accountable owner and named performers for its tasks.
Evidence shows what was done, by whom and when, and is kept for the period the obligation requires.
Controls are tested by someone other than the person who performs them, and results are reported without softening.
Findings carry an owner, a date, a remediation and evidence that the fix works.
First edition. Objectives are normalised statements of what an organization must achieve. Mappings are graded: full, partial, or a recorded absence with the reason it is absent. An empty cell is a finding about the framework, not about the objective.
Framework names and references are the property of their publishers. DTCF is an independent mapping and is not endorsed by them. Corrections are welcome through the contact form and are published in the edition changelog.