Compliance Evidence Automation | CodeYourCompliance

Compliance Evidence Automation | CodeYourCompliance

AI Evidence Gap

Model Changes Should Reopen Previous Evidence
Why model, prompt, or tool changes can affect previous acceptance evidence—and what regression testing should verify.
 • CodeYourCompliance
Why AI Agent Testing Needs Repeated Runs
Why one passing test is not enough to establish consistent AI agent behaviour, reliable outcomes, and control enforcement across repeated runs.
 • CodeYourCompliance
What Evidence Proves Human Oversight Actually Works?
Why a human approval step is only useful as a control when the execution record shows that the system actually respected the decision.
 • CodeYourCompliance
A Successful Demo Is Not an Acceptance Test
Why one successful run shows that a workflow can work, but does not establish the tested boundary needed for acceptance.
 • CodeYourCompliance
A Policy Is Not Evidence That an AI Agent Obeys It
Why documented AI controls still need execution evidence before they can be relied upon.
 • CodeYourCompliance
How to Build a Claim-Evidence Matrix for AI Procurement
A practical way to map AI vendor claims to sources, scope, evidence gaps, buyer questions, and usage boundaries.
 • CodeYourCompliance
Vendor Questionnaires Fail When Claims Are Not Mapped to Sources
A completed AI vendor questionnaire may collect the right answers while leaving the buyer without the sources, scope, exceptions, and evidence needed to…
 • CodeYourCompliance
Data Residency Claims Are Useless Without Scope
A hosting country is evidence, but it does not establish where the rest of the AI data path is stored, processed, accessed, or backed up.
 • CodeYourCompliance
AI Audit Logs: What Events Are Missing?
Audit logs may exist without recording the AI-specific events needed for incident reconstruction, accountability, or review.
 • CodeYourCompliance
Prompt Retention Is a Control, Not a Preference
“Zero retention” may sound sufficient, but buyers still need evidence for data-type coverage, storage layers, deletion timing, exceptions…
 • CodeYourCompliance
Subprocessor Lists Do Not Show the Actual AI Data Path
A subprocessor list shows who may process data. It does not show which subprocessors touch which data, feature, region, workflow, or support path.
 • CodeYourCompliance
Human Review Is a Data Exposure Path Unless It Is Bounded
Human review may support safety and support workflows, but buyers still need evidence for scope, trigger, access roles, retention, opt-out, and contract…
 • CodeYourCompliance
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