How It Works — Canyon Road

Canyon Road secures AI at the moment actions execute — not after. Three products, one architecture: local enforcement powered by central policy.
agentsh wraps AI agents for runtime enforcement. Beacon monitors AI desktop apps at the OS level. Watchtower manages both from one place.
Central policy management, approval routing, SIEM export, and fleet-wide kill switch.
Wraps AI agents in CI, containers, and dev environments. Enforces policy at execution time.
Monitors AI desktop tools (Claude, Cursor, ChatGPT). Per-app visibility and control.
Write once, enforce everywhere. Policies flow down, decisions flow back up.
Define what's allowed, what's blocked, and what requires approval. Set rules by destination, command, tool, or user group.
Policies sync to Beacon (endpoints) and agentsh (CI, containers, dev environments). Rollout rings let you test before going fleet-wide.
When an AI tool or agent tries to act, agentsh intercepts the syscall and evaluates policy. Decisions happen in milliseconds, locally.
When policy says "prompt," the request routes through Watchtower to Slack, email, or SMS. Approvers decide, and the action proceeds or blocks.
Every action is logged. Export to your SIEM (Splunk, Sentinel, QRadar). If something goes wrong, hit the kill switch to pause AI operations fleet-wide.
You don't need to deploy everything at once. Pick the product that matches your biggest concern.
Employees using Claude, ChatGPT, Cursor without IT visibility. You need to see what's happening and set boundaries.
AI agents running in automation pipelines. No UI, no user to prompt. You need policy enforcement at the syscall level.
Multiple teams, audit requirements, SIEM integration. You need central control and an emergency brake.
We're working with early design partners to refine the architecture. If you're deploying AI tools or agents and want guardrails that actually work, let's talk.