Prompt Injection
Attackers can hijack agent logic via external tools or retrieved context, leading to unauthorized actions.
API Key Leaks
Agents frequently expose raw secrets in verbose logs or pass them to untrusted sub-agents.
Unfiltered Skills
Allowing agents unrestricted access to system shells or file systems is an invite for disaster.
Data Exfiltration
Sensitive PII can be sent to third-party LLM providers or malicious endpoints without oversight.
Ghost Actions
Non-deterministic loops can cause thousands of API calls or AWS resource deletions in seconds.
Zero Oversight
Teams have no centralized way to view, revoke, or restrict agent permissions across the stack.
AgenShield detects your OpenClaw installation and creates a separated execution model: a restricted agent user, a controlled workspace user, and a broker that enforces policy, secrets, and execution boundaries.
Deploy anywhere
Run AgenShield locally, in a VPC, or inside regulated environments. Built for teams that need residency, privacy, and full control.
OS-level isolation
AgenShield creates separate execution users and boundaries so agents can’t inherit broad privileges or access your full filesystem.
Policy enforcement broker
A local daemon mediates every action, enforcing allow/deny rules, controlling secrets, and blocking unsafe executions before they happen.
Unix socket communication
Agent-to-broker communication happens through a local Unix socket, not direct privilege sharing—reducing attack surface by design.
Policy wall protection
Even if OpenClaw tries something unsafe, it hits a hard policy boundary. No silent escalation. No “oops” shell access.
Safe execution by default
Approved scripts run only inside a controlled workspace context, with scoped permissions and minimal access, nothing more.
