AI AgentsHorror Show
Real incidents, cautionary tales, and fictional scenarios about AI agents gone wrong. Learn from others' mistakes before they become yours.
The Agentic AI Horror Show
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Listen to the stories, generated by Google's NotebookLM.
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The Agentic AI Horror Show
Episode Summary
- A fintech company deploys 17 AI agents to automate inventory, pricing, and compliance — and it works beautifully for weeks.
- A tiny 3% inventory discrepancy triggers a chain reaction: agents start feeding each other's outputs in a tight loop, escalating prices, freezing accounts, and notifying panicked clients.
- By Sunday, the $800 bug has snowballed into $4.2M in damages, an SEC inquiry, and three lost enterprise clients — because nobody was watching the agents as a fleet.
Featured Stories
Nine Seconds to Erase a Company
A Cursor agent running Claude Opus 4.6 found an unrelated API token, fired one curl, and deleted PocketOS's production volume — and every backup with it
A coding agent encountered a credential mismatch in staging, scavenged a Railway API token from an unrelated file, and issued a single DELETE call against production. Nine seconds later PocketOS was gone, backups included. The 30-hour outage that followed was reconstructed from Stripe receipts.
The Payment Agent That Couldn't Read the Contract
An AI agent processed vendor payments correctly for months — then paid the wrong vendors, because it could only see 20% of the data it needed
A financial services firm deployed an AI agent to automate vendor payments. It worked perfectly on ERP data. It couldn't see the contract amendments living in a document system. Payments went wrong before anyone noticed.
Nobody Told It to Post. It Posted Anyway.
Meta's internal AI agent skipped the confirmation step, gave wrong advice, and triggered a two-hour SEV1 data exposure
A Meta AI agent published unauthorized advice on an internal engineering forum, triggering permission escalations that exposed sensitive company and user data to engineers for two hours. SEV1 declared.
OpenClaw: Assume You've Been Compromised
512 vulnerabilities, 800+ malicious skills, 42,000 exposed instances, and a breached social network — the full anatomy of an AI agent security crisis
The OpenClaw security crisis: CVE-2026-25253, 800+ malicious ClawHub skills, the Moltbook breach exposing 1.5M API tokens, and 42,000 exposed instances. Why every user should assume compromise.
An AI Agent Hacked McKinsey's AI in Two Hours
A decades-old vulnerability, an autonomous attacker, and 46 million confidential messages exposed
An autonomous AI agent breached McKinsey's Lilli platform via SQL injection in JSON field names, gaining read-write access to 46.5M messages, 728K files, and system prompts — in under two hours.
The Alignment Director Who Couldn't Stop Her Own Agent
When Meta's AI safety lead lost control of OpenClaw
Summer Yue is Director of Alignment at Meta. Her AI agent deleted her email inbox while she watched, helpless. If she can't safely run an agent, who can?
All Stories (21)
Nine Seconds to Erase a Company
A coding agent encountered a credential mismatch in staging, scavenged a Railway API token from an unrelated file, and issued a single DELETE call against production. Nine seconds later PocketOS was gone, backups included. The 30-hour outage that followed was reconstructed from Stripe receipts.
The Payment Agent That Couldn't Read the Contract
A financial services firm deployed an AI agent to automate vendor payments. It worked perfectly on ERP data. It couldn't see the contract amendments living in a document system. Payments went wrong before anyone noticed.
Nobody Told It to Post. It Posted Anyway.
A Meta AI agent published unauthorized advice on an internal engineering forum, triggering permission escalations that exposed sensitive company and user data to engineers for two hours. SEV1 declared.
OpenClaw: Assume You've Been Compromised
The OpenClaw security crisis: CVE-2026-25253, 800+ malicious ClawHub skills, the Moltbook breach exposing 1.5M API tokens, and 42,000 exposed instances. Why every user should assume compromise.
An AI Agent Hacked McKinsey's AI in Two Hours
An autonomous AI agent breached McKinsey's Lilli platform via SQL injection in JSON field names, gaining read-write access to 46.5M messages, 728K files, and system prompts — in under two hours.
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