OpenClaw Security Model Major Upgrade: In-Depth Analysis of Latest Security Features

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OpenClaw Security Model Major Upgrade: In-Depth Analysis of Latest Security Features

Introduction

In March 2026, OpenClaw released significant security updates, further strengthening its position as a secure personal AI assistant. This update covers expanded SecretRef support, a new security audit tool, and a more comprehensive security model architecture. This article provides a detailed explanation of these security improvements.

SecretRef Security Expansion: Complete 64-Target Coverage

One of the most important security improvements in this update is the comprehensive expansion of SecretRef support. SecretRef now covers all 64 user-supplied credential surface targets, including:

  • Runtime collectors
  • OpenClaw secrets planning/applying/auditing flows
  • Onboarding SecretInput UX
  • Related documentation updates

Key Improvements:

  • Unresolved refs now fail fast on active surfaces
  • Inactive surfaces report non-blocking diagnostics
  • This ensures early detection and handling of credential issues, avoiding runtime security risks

New Security Audit Tool: openclaw security audit

OpenClaw now provides a dedicated security audit command, recommended to run regularly (especially after changing config or exposing network surfaces):

openclaw security audit
openclaw security audit --deep
openclaw security audit --fix
openclaw security audit --json

This command detects common security issues including:

  • Gateway auth exposure
  • Browser control exposure
  • Elevated allowlist risks
  • Filesystem permission issues

Personal Assistant Security Model

OpenClaw explicitly adopts a personal assistant security model, which means:

Trust Boundary Principles

  • Each Gateway has only one trust boundary (single-user/personal assistant model)
  • Sharing one Gateway/Agent among multiple mutually untrusted or adversarial users is not recommended
  • For mixed-trust or adversarial-user operation, split trust boundaries

DM Pairing Policy

By default, OpenClaw uses pairing mode (dmPolicy=“pairing”) for:

  • Telegram
  • WhatsApp
  • Signal
  • iMessage
  • Microsoft Teams
  • Discord
  • Google Chat
  • Slack

Unknown senders receive a short pairing code, and the bot does not process their messages until manually approved by an administrator.

Operational Recommendations

  1. Principle of Least Privilege: Start with minimum access permissions and widen only as you gain confidence
  2. Isolated Runtime Environment: Company-shared Agents should run on dedicated machines/VMs/containers
  3. Separate Identities: Do not mix personal and company identities on the same runtime

Security Improvements from Breaking Changes

This update includes the following important breaking changes:

  1. Tool Profile Default Changed: New installations now default to tools.profile = "messaging", no longer enabling broad coding/system tools by default
  2. ACP Dispatch Enabled by Default: ACP dispatch is now enabled by default; to pause, set acp.dispatch.enabled=false

These changes significantly reduce the attack surface for new users and improve the default security posture.

Conclusion

This OpenClaw security update demonstrates the project’s high priority on user security. By expanding SecretRef support, providing security audit tools, and clarifying the security model, OpenClaw offers users stronger security guarantees. Users should run openclaw security audit to check existing configurations as soon as possible and follow official security documentation for the latest guidance.


Source: OpenClaw Official GitHub and Security Documentation