Microsoft Internal Azure AI Service Red Team Exercise
Attack on AI1 Research / proof of conceptAdversarial evasion
Internal Microsoft Azure services underwent a red team assessment involving traditional intrusion techniques and adversarial machine learning evasion. The exercise demonstrated potential ML-specific vulnerabilities within cloud infrastructure.
Details
- type
- Attack on AIAn AI model, agent or AI-powered product was the thing exploited, abused or leaked.
- categories
- Adversarial evasionInputs crafted to make a model misclassify or miss detections (perturbations, evasion of AI-based defences).
- Adversarial evasion
- owasp llm top 10
- no entry for these categories
- mitre atlas
- Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
- severity
- 1 · Research / proof of conceptDemonstrated by researchers; no known real-world exploitation.
- targets
- Microsoft, Enterprise deployment
- products
- Azure
- incident date
- Jan 2020 (approx.)
- first reported
- 23 Oct 2020
- origin
- MITRE ATLASDerived from MITRE ATLAS (Apache 2.0, © MITRE).
- classifier confidence
- 0.95 · published at or above 0.80; see the methodology
- tags
- red-team · adversarial-ml · azure
- record
- created 2026-10-18 06:55Z · updated 2026-10-18 06:55Z · json
Sources · 1
- 2020-10-23Microsoft Azure Service DisruptionMITRE ATLAS · atlas.mitre.org/studies/AML.CS0010
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