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DataDost AI

Trust hub

Responsible disclosure

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

Control surface

Responsible disclosure

Reviewed controls

Access

Role boundaries, MFA assumptions, and review ownership are explicit.

Policy

Terms, privacy, subprocessors, and incident notes stay linked.

Evidence

Changes, exceptions, and approvals are documented before release.

Buyer check

A procurement or legal reviewer can inspect the operating stance quickly.

Last reviewed: 2026-05-03

Policy position

Scope, safe harbor, reporting, response SLA, hall of fame, and bounty roadmap.

This page is reviewed on a scheduled cadence. Enterprise clients can request supporting artifacts during procurement, onboarding, or renewal.

Operating controls

Controls are mapped to owner, cadence, artifact, escalation route, and client-facing evidence where applicable. We do not claim certification unless expressly stated in an accepted SOW.

  • Owner assigned
  • Last reviewed 2026-05-03
  • Next review due 2026-08-03
  • Evidence retained in the governance workspace
Responsible disclosure | DataDost AI