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DataDost AI

Trust

Trust is engineered, not claimed

DataDost's governance hub for security, DPDP, change management, SLA, and subprocessor transparency.

A security policy binder open on a wood desk with access control and incident response headers.
Last reviewed: 2026-05-03

Security practices

Current security practices for access, environments, secrets, transit encryption, vendors, and incident response.

Review document

Privacy practices

Current data-handling practices for minimization, retention, subprocessors, model training, and rights requests.

Review document

Trust overview

Security controls, privacy practices, service levels, subprocessors, incident history, and governance evidence for DataDost AI clients.

Review document

Quality framework

The DostFlow methodology documents every phase from discovery to hypercare.

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Information security

Security controls are written for practical enforcement, not brochure language.

Review document

Change management

Production changes require tickets, owners, impact assessment, rollback plans, and closure evidence.

Review document

Service level agreement

Response targets, availability expectations, maintenance windows, escalation paths, service-credit rules, and exclusions for supported DataDost engagements.

Review document

Compliance posture

We state what we follow, what controls are documented and what depends on client scope.

Review document

DPDP operating statement

A formal Data Protection Act 2023 operating statement.

Review document

Subprocessor transparency

Enterprise clients receive notice before material subprocessor changes.

Review document

Incident history

No reportable security incidents have been recorded.

Review document

Vendor code of conduct

Subcontractors must meet the same operating bar we promise clients.

Review document

Responsible disclosure

Security researchers get a clear reporting path and safe-harbor language.

Review document

Trust changelog

Policy and security-impacting changes are recorded publicly.

Review document

How this works

This page follows the same DostFlow methodology used across DataDost work: discovery, solution design, build, UAT, deploy, and hypercare.

Every client-facing route documents scope, risk, expected artifacts, and the next action so buyers can evaluate the business outcome without decoding agency jargon.

Governance by default

We maintain access controls, change logs, data handling notes, and handover documents even for lean teams. This is how enterprise operating discipline becomes practical for growing companies without a full internal data department.

Trust is engineered, not claimed | DataDost AI