This is what happens when AI runs wild with no safety net
Real teams. Real wipes. Databases, production systems, whole machines. Swipe any story, tap to enlarge.Click any story to read it full size.
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IDE guardrails and prompt rules did not stop these. Runline stops the same class of command at the exec boundary.
Get a demoWe are not another AI watcher.
We stop the command.
When an agent or MCP tries a destructive command, Runline stops it in real time, before it hits cloud, infra, data, or production.
Illustrative fleet counter
1,212,790Example volume of destructive AI commands blocked across a design-partner fleet. Your POV report shows real numbers from your endpoints.
Cursor
387,420Claude Code
324,180AWS
218,650Terraform
167,890GCP
114,650
Fleet breakdown totals 1,212,790 blocked commands across Cursor, Claude Code, AWS, Terraform, and GCP.
Prompt & IDE guardrails
What failed in PocketOS
- Rules live inside the AI tool
- The model can ignore instructions mid-task
- Nothing blocks the command before it runs
- Weak proof for regulators
AI control plane
Watch & supervise AI
- Broad visibility across prompts and cloud
- Plain-language policy for governance
- Often watches after the fact, not before
- Another AI may try to steer agents
Runline
Blocks before it runs
- Blocks AI tools before damage happens
- Locked rules with clear, repeatable audits
- Knows AI vs human terminal
- Covers the fleet + sends proof to your logs
Ready to see it stop a real command on your fleet?
Free POV
Roll it out on 25 endpoints in under a week.
Start with a free 30-day POV: MDM-delivered install, signed policy at the exec boundary, and audit evidence your security team can review. No credit card. Humans keep full terminal access.
- →Cursor, Claude Code, Codex, and MCP clients covered
- →Signed allow/deny record for every risky command
- →Platform and Security share one console