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2302 articles · 121815 vulns · 38/41 feeds (7d)
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EST
PRE-CVE

AI-Driven Autonomous Cloud Attack System Demonstrated

56% confidence

Description

A multi-agent AI system named 'Zealot' was developed to autonomously execute cloud penetration testing by chaining existing misconfigurations and known vulnerabilities. The system demonstrates AI's capability to accelerate exploitation of server-side request forgery (SSRF), metadata service credential theft, service account impersonation, and data exfiltration in cloud environments.

Related News (2 articles)

Tier D
SecurityWeek2h ago
AI Can Autonomously Hack Cloud Systems With Minimal Oversight: Researchers 
→ No new info (linked only)
Tier C
Palo Alto Unit 423h ago
Can AI Attack the Cloud? Lessons From Building an Autonomous Cloud Offensive Multi-Agent System
→ No new info (linked only)
CISA KEV❌ No
Actively exploited❌ No
PublishedApr 23, 2026
Last enriched2h ago
Tags
aicloud securitymulti-agent systems
Trending Score31
Source articles2
Independent2
Info Completeness2/14
Missing: cve_id, vendor, product, versions, cvss, epss, cwe, kev, exploit, patch, iocs, mitre_attack

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Verification

State: reported
Confidence: 56%

Vulnerability Timeline

CVE Published
Apr 23, 2026
Discovered by ZDM
Apr 23, 2026