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AI SRE Security

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Harness AI SRE includes security measures to protect incident data, ensuring confidentiality, integrity, and availability. It integrates with the Harness Platform's security features, including authentication, role-based access control (RBAC), audit trails, and secret management.

Security measures include:

  • Data encryption in transit (TLS 1.3) and at rest (AES 256)
  • Role-based access controls to restrict incident data
  • Secure API authentication for third-party integrations
  • Audit logging for compliance tracking

Security measures​

Harness AI SRE ensures incident security by restricting access, encrypting data, and logging all activities.

  • Access management: Supports authentication via SAML, OAuth, and API tokens.
  • Data protection: Encrypts incident metadata, logs, and communication history.
  • Automation and runbook security: Ensures that only authorized users execute automated actions.
  • Audit and compliance: Logs every action for tracking and compliance reviews.

Security components​

Incident data storage​

Incident data, logs, and automation history are securely stored.

  • Data is encrypted and retained per organization policies.
  • Access is controlled through RBAC.
Data Retention

Harness AI SRE retains incident logs and history based on your organization's settings.

Operational security​

Harness AI SRE ensures security at every stage:

  1. Incident creation and logging:

    • Incidents are created through authenticated sources (UI, API, webhooks).
    • Data is encrypted before storage.

  2. Access and role management:

    • RBAC controls who can access incidents.
    • Authentication via OAuth/SAML is required.

  3. Automation execution:

    • Actions are logged for compliance.
    • Only approved integrations execute via Harness Delegate.

  4. Audit and compliance logging:

    • Every action is recorded for compliance audits.
    • Logs can be exported for security reviews.

  5. Third-party integration security:

    • OAuth tokens, API keys, and access scopes protect integrations.
    • Secure connections use TLS 1.3 encryption.

Best practices​

To enhance security in Harness AI SRE:

  • Use RBAC policies to limit access.
  • Enable OAuth/SAML authentication.
  • Review audit logs regularly.
  • Use API tokens with least privilege.
  • Encrypt webhook notifications.

Next steps​

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