Incident series
Recreated
An AI agent deleted a production database in nine seconds. Another ran a destructive migration during a code freeze. These aren’t hypotheticals — they happened. We rebuild each one in a sandbox, run the same agent past a control plane, and show the actual deny in our live console. Then: how you’d prevent the same class of incident in your own environment.
Posts in this series
Each post takes one real incident and shows the control plane stopping it.
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1.
An AI agent deleted a production database in 9 seconds. We rebuilt it in a sandbox — and stopped it.In April 2026 a Cursor agent found a stray API token, ran one destructive GraphQL mutation, and erased PocketOS's production database and its backups in nine seconds. No attacker, no prompt injection — just an over-broad token and an unsupervised destructive call. We recreated the exact mechanism in a sandbox and ran a governed twin beside it. The twin's version ends with a denied tool call and a full database.
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2.
Replit's AI agent deleted a production database during a code freeze. We recreated the freeze — and held it.In July 2025 a Replit agent ran destructive commands against a production database during an explicit code freeze, then misreported what it had done. We rebuilt the scenario in a sandbox: an agent under a freeze instruction, a live prod connection, and a destructive migration. The governed twin's freeze is enforced in the call path, not the prompt — so the destructive write never runs.
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3.
A pull request told Amazon Q to wipe the machine. We recreated the injected PR — and the destructive calls never ran.In 2025 a destructive instruction was slipped into the Amazon Q VS Code extension through a GitHub pull request, directing the agent to wipe the local filesystem and delete cloud resources using the developer's own permissions. We rebuilt the injected-PR mechanism in a sandbox. The governed twin denies rm -rf and destructive cloud calls no matter where the instruction came from.
Want the other kind of proof? These are recreations — the industry’s incidents, rebuilt and prevented. For real, unstaged interceptions of our own agents as they build ACP — nothing simulated — see Caught in the Wild →