Current default posture
Control layers
- Input and external-content handling: validates inbound data and wraps untrusted text before prompt assembly.
- URL and path controls: guarded fetch paths reject known local/private targets; file tools use traversal- and symlink-aware path checks.
- Tool authorization: profiles and allow/deny lists determine which tools are available. The default profile is intentionally broad.
- Action classification: read, mutate, and destructive labels support policy and auditing. The human approval workflow is a separate opt-in layer.
- Credential handling: encrypted storage, scoped resolution, redaction, and optional broker injection reduce plaintext exposure.
- Learned-state controls: source trust, provenance, configured corroboration, usefulness, and correction history shape what can return in a later session.
- Output and memory guards: completed responses and new memory writes are scanned for secret-shaped or suspicious content.
- Audit and diagnostics: content-free security-decision events and operator checks help reconstruct and verify the active posture.
- OS isolation: Bubblewrap or
sandbox-execconfines supported exec paths; scope and availability are documented rather than assumed.
Learned state is a security boundary
Cross-session guidance is persistent model input. Candidate guidance may surface before active promotion and influence which already-authorized tool the model requests. The defaultsingle_owner corroboration mode accepts repeated qualifying
observations from one explicitly trusted owner. It is not independent-source
corroboration. Static validation blocks selected critical patterns, but
warning-level harmful or jailbreak-like language can pass and remain
persuasive.
Recall is scoped to the tenant and agent, not to an individual sender or end
user. Use separate tenants, agents, or another isolation layer when users must
not share learned guidance. Recording a correction feeds the correction and
demotion process, but does not guarantee immediate demotion, retirement, or a
durable behavior change.
Learned documents are advisory Markdown with no direct script or dynamic
replay path. Learned text cannot by itself execute a command or grant a
capability, credential, lease, approval, or larger budget. It can still steer
the model toward actions already within its configured reach, so tool policy,
capability checks, origin checks, credential scope, approvals on supported
paths, budgets, leases, and host isolation remain authoritative.
Verify a deployment
Security documentation
Threat Model
Assets, trust boundaries, defended threats, and out-of-scope risks.
Defense in Depth
How the individual controls compose.
Secrets
Credential storage, scoping, backup, and rotation.
Approvals
Enable and configure the opt-in approval workflow.
Tool Policy
Replace the default unrestricted tool profile.
Exec Sandbox
Platform support, fallback behavior, and limitations.
Audit
Review recorded security-decision events.
Hardening
Prepare a Linux deployment for untrusted input.
