Security

Security and trust at DrusyAI

DrusyAI handles business conversations, customer context, AI responses, API requests, and connected workflows. This page explains the practical controls customers should understand before launch.

Security model

Built for customer conversations

DrusyAI is designed for business messaging, not anonymous consumer chat. The important controls are access, data flow, human review, and integration boundaries.

Controlled access

Workspace access, channel setup, API keys, and team permissions are designed around least-privilege operation.

Protected data flow

Customer conversations, knowledge content, booking details, and workflow data move through authenticated service paths.

Human oversight

Teams can take over conversations, review edge cases, and configure when automation should stop and a person should step in.

Integration boundaries

Custom skill calls, webhooks, API keys, and caller identity tokens help keep connected systems scoped and verifiable.

Customer data

Data handling responsibilities

Security works best when DrusyAI and the customer both keep data collection, permissions, and connected tools scoped to the job the assistant needs to do.

  • WhatsApp messages and metadata are processed to provide conversation automation, routing, handoff, and support history.
  • Business knowledge should contain only the information your assistant needs to answer customers accurately.
  • Team members should use individual accounts and only receive the workspace permissions required for their role.
  • API keys should be created for specific integrations, stored server-side, rotated when needed, and revoked when no longer used.

Legal and privacy

Review the formal terms

This security page is a practical overview. The legal pages describe service terms, privacy handling, processor obligations, cookies, and customer responsibilities.

Put your customer conversations on autopilot

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