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AI agent monitoring and blocking for OpenClaw and beyond

Capture audit trails, enforce tool permissions, and stop unsafe AI agent actions in real time. TrustClaw gives security and IT teams full visibility into agent behavior, clear controls over what agents can do, and structured evidence for investigation and review.

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OpenClaw is the first supported release. Claude Cowork is next.

TrustClaw does not require Swif MDM to get started. For company devices, Swif MDM is required for bulk deployment and management

Unified Device Management Software

What is TrustClaw

TrustClaw is Swif.ai’s security layer for AI agents. It helps teams monitor agent behavior, capture structured audit trails, and apply controls before risky actions happen.


Starting with OpenClaw, TrustClaw uses memory context for audit trail ingestion and logging, while also capturing tool activity, sessions, and execution context in a clear timeline. It gives teams a reliable way to understand what the agent saw, what it tried to do, and what actually happened.

Why it matters: once agents can take action, the risk is no longer just bad answers. It becomes unauthorized reads, writes, edits, and command execution. TrustClaw is built to reduce exposure to two major classes of agent risk: behavioral control traps that push an agent toward attacker goals, and systemic traps that create larger failures across multi-agent workflows.

How it works

Capture agent activity

Ingest memory context, session activity, tool usage, and execution context from agent runs. Turn raw behavior into a searchable audit trail.

Apply controls

Control actions at the tool layer. Because OpenClaw operations break down into tools like read, write, edit, and exec, TrustClaw lets you allow safe actions, deny risky ones, or require approval for sensitive commands.

Process and surface results

Normalize activity inside Swif so teams can review events, investigate incidents, tune controls, and export structured logs into SIEM and analytics workflows.

Key benefits

Reduce risk from AI agent actions

Prevent unsafe behavior before it executes by blocking high-risk tools, restricting dangerous capabilities, or requiring approval for sensitive actions.

Maintain a complete audit trail

Capture what the agent saw, which tools it used, what it attempted, what was approved, and what happened next in one structured timeline.

Support security audits and investigations

Give IT and security teams searchable evidence for incident response, control validation, and compliance reviews without relying on fragmented logs.

Integrations / SIEM export

TrustClaw integrates with AI agent frameworks like OpenClaw to capture security-relevant activity where actions actually happen. Activity is structured inside Swif as a clear timeline for review and investigation, then exported to SIEM and analysis workflows to support existing security operations.

TrustClaw does not replace your SIEM. It makes AI agent activity visible, enforceable, and understandable, then feeds that intelligence into the rest of your security stack.

TrustClaw also does not require Swif MDM. For company devices, Swif MDM is used for bulk deployment and management.

Frequently asked questions

What is AI agent security monitoring?
Can TrustClaw block AI agent actions?
What is included in the audit trail?
How does TrustClaw control OpenClaw actions?
How do exec approvals work?
Does TrustClaw work with OpenClaw?
Which agents are supported first?
Does TrustClaw require Swif MDM?
Does TrustClaw replace SIEM tools?
What risks is TrustClaw designed to reduce?