Can AI Attack the Cloud? Lessons From Building an Autonomous Cloud Offensive Multi-Agent System
Summary
Researchers at Palo Alto Networks built an autonomous multi-agent AI system called Zealot to test whether AI could independently perform cloud attacks. The system successfully chained together multiple exploitation techniques (SSRF, credential theft, and data theft) against a test Google Cloud environment, demonstrating that AI acts as a force multiplier for known cloud misconfigurations rather than creating entirely new vulnerabilities.
Classification
Affected Vendors
Related Issues
CVE-2026-63086: text-generation-inference through 3.3.7 contains a server-side request forgery (SSRF) vulnerability in the OpenAI-compat
CVE-2026-34371: LibreChat is a ChatGPT clone with additional features. Prior to 0.8.4, LibreChat trusts the name field returned by the e
Original source: https://unit42.paloaltonetworks.com/autonomous-ai-cloud-attacks/
First tracked: April 23, 2026 at 08:00 AM
Classified by LLM (prompt v3) · confidence: 92%