Gamut Claw
Secure execution for governed AI agents.
Gamut Claw is the bounded execution worker in the Gamut operating stack. It executes approved AI tasks, but does not directly own policy, databases, credentials, customer tools or model-provider access.
Book a callWhy Claw exists
Agentic AI creates a dangerous temptation: give the worker direct access to tools, data, credentials and model providers so it can move quickly. Claw is designed around a safer principle. Execution should be bounded, authorised and reviewable, while policy decisions and sensitive access remain separated.
Execution is not authority
Claw performs the authorised task. It does not decide policy, own the governance record or bypass approval gates.
No direct secrets
Claw does not receive customer credentials or model-provider keys. Runtime access is mediated through Gateway and environment-backed references.
Every task should leave evidence
Task requests, decisions, status, outputs and exceptions become evidence for assurance, security review and incident investigation.
What Claw controls
Bounded task scope
Tasks are constrained by purpose, tenant, assessment context, allowed tools, data class and approved outcome.
Runtime limits
Execution can be limited by time, step count, retries, priority, lease duration, output size and cancellation rules.
Gateway-only action
Every model, context or tool action is routed through Gateway for policy decision, enforcement, audit and response control.
Result control
Outputs can be bounded, summarised, redacted and stored as evidence rather than persisting raw sensitive context unnecessarily.
Pause, resume and cancel
Tasks can be governed operationally rather than left to run unchecked inside sensitive business workflows.
Fail-closed behaviour
When policy, lease, approval, connector or runtime conditions are not satisfied, the safe outcome is to stop rather than improvise.
Governed task modes
- Governed context summary
- Evidence gap analysis
- Control recommendation
- Tool planning without direct tool execution
- Governed reasoning through Gateway-mediated model invocation
- Gateway-mediated tool task execution
- Task scheduling and priority handling
- Pause, resume, cancellation and retry controls
- Task leasing and fail-closed runtime behaviour
- Runtime result redaction and bounded output
Runtime evidence Claw helps produce
| Evidence | Why it matters |
|---|---|
| Task history | Shows what was requested, by whom, under which tenant, agent and assessment context. |
| Step status | Shows whether each task is queued, running, succeeded, failed, cancelled, blocked or escalated. |
| Gateway decision details | Shows what Gateway allowed, blocked, logged or escalated before execution. |
| Runtime limits | Shows how the task was bounded by time, tools, retries, output size and policy state. |
| Redacted result summaries | Provides useful outputs without persisting raw prompts, raw context or secrets unnecessarily. |
| Exception and failure records | Supports assurance review, troubleshooting, incident investigation and control improvement. |
Why CISOs and buyers should care
It reduces agent execution risk
Separating policy, execution, credentials and evidence reduces the chance that an AI worker becomes an uncontrolled privileged actor.
It creates reviewable assurance
Claw gives security, audit and leadership teams a clearer record of what was requested, what was approved and what actually happened.
How Claw fits into Gamut
Gamut AI remains the governance system of record. Agentic CISO records the agent and assurance context. Gateway decides whether runtime action is allowed. Claw executes only the bounded task it has been authorised to perform.
This separation is the security advantage: the worker can execute governed AI tasks without becoming the policy authority, database owner, secret holder, direct model-provider client or uncontrolled connector client.
See Gateway · Explore agentic AI governance · View the 30-day sprint
Bounded execution
Do not give autonomous agents unchecked access to your business.
Use Claw with Gateway and Gamut to execute approved AI tasks inside defined limits, with evidence that security, audit, leadership and buyers can review.
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