One runaway AI agent racked up a $50,000 cloud bill
Mandiant's AI Risk and Resilience report details prompt injection, AI supply chain compromises, agent abuse, and a runaway agent that accrued $50,000 in cloud charges.
Mandiant, drawing on Google Threat Intelligence Group (GTIG) observations, warns that poisoned data sources, model dependencies, and extension hooks can turn AI agents into channels for reconnaissance, lateral movement, and sandbox escape. Mandiant responded to incidents involving UNC6780 (TeamPCP), who stole AI service credentials and used prompt injection against AI coding assistants, while GTIG disclosed the first confirmed criminal use of an AI-developed zero-day exploit in a planned mass exploitation campaign. Red team tests showed an AI assistant manipulated into cloning internal repositories to an external GitHub account, and a runaway accounting agent made over 15,000 costly API calls in under an hour, generating roughly $50,000 in cloud charges.
- Prompt injection remains the primary attack vector in enterprise AI deployments
- UNC6780 (TeamPCP) stole AI service credentials and attacked AI coding assistants
- GTIG confirmed first criminal use of an AI-developed zero-day exploit
- Red teamers tricked an AI assistant into cloning repos to an external GitHub account
- Runaway accounting agent made 15,000+ API calls, costing about $50,000
- Vendors
- MandiantGoogleVirusTotal
- Organizations
- Google Threat Intelligence Group
From the original article
3 min read at helpnetsecurity.com
Organizations are deploying autonomous AI systems that execute API calls, optimize production configurations, and analyze telemetry across hybrid cloud environments. At the same time, attacks are expanding from direct prompts to indirect prompt injection and AI supply chain compromises, blurring security boundaries.
By Anamarija Pogorelec · helpnetsecurity.com
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