The separation of AI agents into isolated environments so that one compromised agent cannot affect others.
Agent isolation ensures that each agent runs in its own sandbox. If Agent A is compromised via prompt injection, it cannot access Agent B's data, tools, or credentials.
Clawctl achieves isolation through per-agent Docker containers with separate network namespaces, credential stores, and file systems. In multi-tenant environments, tenant isolation ensures complete separation between different customers' agents.
Without isolation, one compromised agent can lateral-move to other agents, accessing all their tools and data. Isolation contains the blast radius of any security incident.
Clawctl deploys each agent in an isolated Docker container with separate credentials, network namespace, and file system. Multi-tenant isolation ensures complete separation between customer environments.
Try Clawctl — 60 Second DeployPer-agent Docker containers with network isolation, separate credential stores, and independent file systems.
Only through configured orchestration patterns. Direct inter-agent access is blocked by default.
Complete separation between tenants. No shared resources, credentials, or data access.
Docker Sandbox
A Docker container configured with restricted permissions that isolates an AI agent from the host system and other containers.
Egress Filtering
Network-level control that restricts which external domains an AI agent can communicate with, preventing data exfiltration.
Tenant Isolation
The complete separation of resources, data, and credentials between different customers (tenants) on a shared platform.
Network Policy
Rules that define which network connections an AI agent can make — inbound and outbound — at the container or cluster level.