Security

Your company's data, kept safe

Employee and payroll data is among the most sensitive data a company holds. These are the practices Mosyr actually applies to protect it.

Sign-in and identity

  • Passwords are stored hashed with bcrypt, so no one can read them.
  • Sessions use signed tokens with a set expiry.
  • Automatic sign-out after an idle period your company chooses.
  • Mobile app sign-in with fingerprint or Face ID.
  • Employees are invited by an email link instead of passing passwords around.

Permissions

  • Granular permissions per module and action: view, manage, approve, export.
  • Built-in roles, plus custom roles your company creates.
  • Multi-step approval chains for leaves, requests, payroll runs and end-of-service.
  • Through self-service, an employee sees only their own data.

Tenant isolation

  • Each company's data is isolated, and every query is scoped to your company.
  • A user in one company cannot reach another company's data.

Encryption and technical safeguards

  • All traffic to the platform is encrypted over HTTPS.
  • Sensitive integration credentials, such as GOSI link keys, are encrypted with AES-256 before they are stored.
  • Security headers on every response, and rate limiting against abuse.
  • The sign-up form is protected against bots.

Audit trails

  • An attendance audit report: every edit to an attendance record, who made it, when, and the values before and after.
  • Replacing an attachment or document is recorded, and the previous file is kept.
  • A status history for every employee.

Attendance integrity

  • A geofence for every work location where staff punch from the mobile app.
  • Punches from faked GPS locations are refused.
  • Optionally require the phone's fingerprint or Face ID to punch.
  • Refused punches are logged with the reason.

Reporting a vulnerability

If you notice what may be a security vulnerability, email [email protected] with the details. We will handle it confidentially and as a priority.

Related pages: Privacy Policy · Data Processing · SLA

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