Stop the command, not the conversation
CISOs do not need another AI judging the AI. They need deletes and production changes to never run.
Coverage is proven, not claimed. see the live proof tests.
The tools AI agents use go through locked rules before they run. Reads allowed. Risky writes blocked.
100%
Every allow or deny tied to who ran it, with proof
<10ms
Checks every AI command before it runs
AI only
Blocks risky AI actions. Human terminals stay normal
36
AI tools covered on every managed laptop
Why the market is panicking
In April 2026 a Cursor agent wiped production in nine seconds after IDE guardrails failed. The open question: why trust written instructions when the terminal is wide open?
Sources: Computing, DEV Community · Reddit
Stopped before they run
Cloud tools, infrastructure, git, and AI coding agents: one locked control layer on every install.
36 AI tools covered on every managed laptop
Three stacked failures
Built-in AI safety failed
IDE guardrails did not stop the delete.
Credentials were too broad
A config token could change production.
Backups were hit too
Live data and recovery copies went together.
Runline stops it before it runs
GitHub org boundary
The same agent can push company work into personal repos on your GitHub and Copilot licenses. Runline blocks that, leaves human terminals alone, and signs every decision.
Six figure savings at enterprise scale
Every AI commit to a personal repo burns a seat, a Copilot license, and engineering time. Closing that gap is measurable.
Boundary rules
AI git only · humans pass
List the GitHub and GitLab orgs you own. Runline enforces that list on every laptop.
Human git stays normal. Only AI pushes are checked against the approved org list.
Push, PR, and fork outside approved orgs are stopped before they run, with signed proof.
Keep GitHub and Copilot spend on company code, not personal repos.
$ gh pr create -R personal/side-project
deny · source control boundary · org not in approved list
The gap
When an AI agent wipes production in seconds, the failure isn't the model. It's that nothing stopped the command before it ran. Runline does: it blocks outside the coding tool and outside the agent's reach, with a signed record of every allow, deny, and approval. No second AI deciding whether to trust the first.
“We don't ask Cursor to behave. We stop the command before it runs.”
9s
Typical time from an AI prompt to a destructive command
0
Trust required in the AI policing itself
36
AI tools covered and protected on every install
100%
Decisions tied to a verified person or AI identity
Every tool an AI can reach (AWS, Kubernetes, Terraform, Git, and connected AI tools) goes through Runline first. Locked rules are checked before anything runs. Human terminals stay normal; only AI actions are gated.
AI agent
Managed tool
How it works
Not a scanner. Not another AI watching AI. A control that blocks risky commands before they run, installed and operated like your other security agents.
Roll out on Mac, Linux, and CI like your other security agents. If Runline cannot be reached, risky AI actions stay blocked.
Every action is labeled as a person or an AI tool (Cursor, Claude Code, Codex) so your security team can see who did what.
AI agents can read and explore freely. High-risk changes like wiping cloud resources, deleting access, or force-pushing code are blocked by locked rules.
Platform
One layer that lets AI move at its speed and stops it the instant an action would put the business at risk. No model rewrites, no new agents to wrangle, no waiting on a vendor patch.
When an AI tries to change production, cloud, code, or data, Runline blocks it before the damage happens. The agent never gets the final say.
Every AI action, allowed, denied, or approved, leaves a signed record that cannot be quietly edited. Auditors get answers in minutes, not weeks.
When the model wants to do something risky, the right person gets a one-tap decision. Approve, hold, or deny without leaving the console.
Plain-language controls map to the frameworks you already report against. Show what is enforced, where, and by whom on demand.
Coding assistants, copilots, and custom agents: every AI decision rolls up to one place your security team owns.
Installs on laptops in minutes, sends records to the security log system you already use, and works with your identity, endpoint, and ticketing tools.
Built for security leaders
Not “more AI visibility.” A real stop before destructive commands run: the lesson from every production wipe this year.
CISOs do not need another AI judging the AI. They need deletes and production changes to never run.
Human terminals stay normal. Only AI sessions hit the blocks, so security is not the friction.
Locked rules, who-ran-it records, and executive briefings: answer “what did agents do?” without scraping chat logs.
Know which machines are protected, which AI tools are gated, and whether blocking stays on if Runline is unreachable.
Plain-language controls mapped to the frameworks you already report against. Your security team still owns the locked rules.
Runline is the control that blocks. Pair it with the log and discovery tools you already buy; do not replace them.
Built for your team
Deletes, cloud wipes, and risky infrastructure changes never reach the API when Runline blocks them first. Your console owns alerts, approvals, and fixes, not the coding-tool vendor.
Category clarity
Buy discovery and monitoring elsewhere if you need it. Buy Runline so the destructive command is blocked before it runs, with proof your CISO can defend, and a public test matrix to prove it.
Live counter
1,212,790Destructive AI commands blocked in the last hour
Cursor
387,420Claude Code
324,180AWS
218,650Terraform
167,890GCP
114,650Fleet breakdown totals 1,212,790 blocked commands across Cursor, Claude Code, AWS, Terraform, and GCP.
Prompt & IDE guardrails
What failed in PocketOS
AI control plane
Watch & supervise AI
Runline
Blocks before it runs
Operator console
Alerts, fleet posture, executive reporting, and rule tuning in one console your security team owns.
AI agent blocked terraform destroy
cursor · macbook-pro-12 · 2m ago
kubectl delete namespace, denied
claude-code · ci-runner-04 · 18m ago
aws s3 cp upload, approval pending
cursor · eng-laptop-07 · 1h ago
98%
Fleet online
47
AI blocks
4m
MTTR
“Stopping the command before it runs is the only control that matters when an AI can wipe production from the same laptop as your engineer.”
Runline design principle
Start your POV
Roll out on engineering laptops and CI in a week. See AI agents blocked on destructive commands while human terminals stay normal, with signed proof of every decision.