In the wild
Realized harm
AI-assisted intrusion moved through an AWS environment across applications, CI/CD and data stores in ~72 hours
AIR-2026-0158 AIR record · 2026-07-sygnia-ai-assisted-aws-extortion
A real party was affected. This incident caused actual consequences, not a demonstrated capability.
From the supporting source
Sygnia investigated a cloud intrusion in which a threat actor gained unauthorized access to an AWS-based environment and expanded across applications, cloud, source-control, CI/CD, and runtime services. The incident involved no novel malware and no zero-day exploit.sygnia.co
The record
Disclosed
2026-07-08
Vendor
undisclosed victim organisation
Product
victim AWS environment
Risk domain
Access control and permissions › Credential theft
Also touches
Data exfiltration channels
System type
Generative model
Who acted
Agent acted (contested) — AI-driven recon and lateral movement across the AWS environment
Attack surface
Autonomous operations
Autonomy level
Semi-autonomous
Initial vector
Internet facing application compromise
Impact type
Data exfiltration, Extortion, Credential theft
Confidence
High
Submitted by
EAI Internal
Crosswalk
- OWASP Agentic Top 10 (2026)
- ASI03 – Identity and Privilege Abuse
- MITRE ATLAS
- AML.T0012 – Valid Accounts
- NIST AI RMF
- MEASURE 2.7
- EU AI Act
- Article 13
- ISO/IEC
- TR 24028; 42001; 23894
- AIUC-1
- B. Security
- Scope
- tool failure
- Mitigation
- Use secure credential storage; Implement short-lived tokens.
- Taxonomy
- Enkrypt AI agent risk taxonomy · Black-Box Red Teaming of Agentic AI: A Taxonomy-Driven Framework for Automated Risk Discovery
Blast radius
one organisation's applications, cloud infrastructure, source control, CI/CD and runtime services
Capability abused
Defense & remediation
Recorded defense
secrets management, identity governance and deployment controls (had gaps)
Guardrail kinds
Unknown
Guardrail outcome
Silent
Taxonomy & references
Curator notes
AI Incident Database incident 1586. Sygnia inferred AI assistance from artifacts and operational tempo and did not identify a specific model; treat the agentic attribution as an assessment rather than a confirmed fact.
Supporting sources
Cite as
Enkrypt AI. "AI-assisted intrusion moved through an AWS environment across applications, CI/CD and data stores in ~72 hours". AIR, AIR-2026-0158. https://agentincident.vercel.app/i/AIR-2026-0158/ (accessed 2026-10-19).