TL;DR: Organizations are moving from point-in-time trust checks to continuous assurance, with Drata citing 38% of respondents saying GRC now primarily supports business growth and noting teams manage an average of eight compliance frameworks. That shift makes trust governance an operating model problem, not just a compliance task.
NHIMG editorial — based on content published by Drata: Chief Trust Officers and the future of enterprise trust governance
By the numbers:
- 38% of respondents view their GRC program’s primary focus as business growth, and that number is likely to grow in the coming years.
- GRC functions manage an average of eight compliance frameworks with 50% managing at least five.
Questions worth separating out
Q: How should organisations structure a trust office alongside existing IAM and GRC teams?
A: Start by assigning one accountable owner for cross-functional assurance, then define which evidence belongs to security, privacy, legal, and compliance.
Q: Why do static security questionnaires fail as a trust mechanism?
A: Static questionnaires capture a snapshot, but trust expectations change as systems, suppliers, and regulations change.
Q: What do organisations get wrong when they centralise trust communications?
A: They often centralise messaging without centralising evidence quality or ownership.
Practitioner guidance
- Map trust artefacts to control owners Assign clear owners for SOC 2 reports, privacy notices, security questionnaires, approval workflows, and AI policy artefacts so every external statement has a responsible internal controller.
- Automate evidence freshness checks Create recurring validation for certificates, attestations, access approvals, and policy exceptions so stale evidence is flagged before it is reused in procurement or audit responses.
- Link IAM evidence to trust reporting Expose access review completion, privileged access approvals, and third-party account offboarding as part of trust reporting so assurance extends beyond general GRC metrics.
What's in the full article
Drata's full article covers the operational detail this post intentionally leaves for the source:
- The vendor's recommended structure for a trust office, including how responsibilities are separated across legal, security, privacy, and compliance.
- Examples of trust centre content and the types of security, compliance, and policy artefacts organisations are expected to publish.
- Operational guidance for automating questionnaire responses and maintaining evidence readiness across multiple frameworks.
- The article's view of how a Chief Trust Officer can translate trust work into revenue, procurement, and customer assurance outcomes.
👉 Read Drata's analysis of the Chief Trust Officer model and trust office strategy →
Chief trust officers and the governance gap teams are missing?
Explore further
Trust governance is becoming a control plane, not a communications function. The article's central idea is that trust now needs an operating model that spans security, privacy, legal, product, and regulatory reporting. That is a useful reframing because point-in-time reviews do not scale in ecosystems where buyers and partners expect continuous proof. For identity and access teams, this means assurance evidence is part of governance, not a side output.
A question worth separating out:
Q: Who is accountable when trust statements, privacy claims, or compliance evidence are inaccurate?
A: Accountability should sit with the executive owner of the trust programme, but each underlying domain still needs a named controller. Security owns technical control state, privacy owns data claims, legal owns regulatory interpretation, and compliance owns evidence integrity. Without that split, errors spread across functions.
👉 Read our full editorial: Chief trust officers reshape GRC, privacy, and security governance