The trust story makes the data flow, identity model, permission boundary, model configuration, approval controls, verification, retention, and run-history behavior concrete for each deployment option.
A clear route to product architecture, security, privacy, governance, and evidence. Security and certification specifics are confirmed with security and legal on request.
| Topic | Questions the page answers |
|---|---|
| Architecture | Where the application, runtime, connectors, model endpoints, logs, and customer data reside. |
| Authentication | How users and agent runs authenticate, and which Azure or Azure DevOps identities are involved. |
| Authorization | How existing Azure DevOps permissions, product roles, project scope, and tool permissions are enforced. |
| Model & data flow | Which context is sent to which model endpoint, and what data is transmitted, cached, stored, or logged. |
| Retention | What is retained, in which locations, and for how long — details available on request. |
| Encryption | Encryption in transit and at rest, with protocols and key ownership confirmed on request. |
| Approval controls | Which actions can require approval, who can approve them, and what the reviewer is shown. |
| Run history | Which execution, actor, approval, tool, output, error, and timestamp fields are available. |
| Subprocessors | Which subprocessors are used and in which processing locations — list available on request. |
| Assurance | Which certifications, attestations, tests, policies, and customer documents are available on request. |
Every run operates inside boundaries you can review — approval, verification, a complete record, and the access controls you already run in Azure DevOps.
Side-effectful actions can pause for human approval at the checkpoints you define, so nothing changes without the review you require.
After an action, the system confirms the expected result was achieved before the run is reported as complete.
Each run captures its trigger, inputs, actions, approvals, outputs, errors, and verification for later review.
Existing Azure DevOps permissions, product roles, project scope, and tool permissions are enforced on every run.
We describe Agents4DevOps through observable execution facts: what an agent accessed, what it changed, which approvals it required, and what verification confirmed. Every run leaves this record, so a review can be grounded in evidence rather than assurances. We do not promise a verbatim internal chain-of-thought — what matters for trust is the auditable trail of access, action, approval, and result.
Processing location, model endpoint, retention, and telemetry behavior depend on the selected deployment and model configuration. Agents4DevOps retrieves only the context configured for a workflow and sends data only to the services required to complete that run. Data-residency, certification, and compliance specifics — including SOC 2 and ISO 27001 status — are confirmed with our security and legal teams on request; review the architecture and DPA for the exact path.
A useful trust review maps your required control to the actual architecture, identity, permission, approval, verification, and retention behavior. Bring your security questionnaire and highest-risk workflow.