Azure Red Team demonstrates adversarial evasion on Microsoft edge AI product
Attack on AI1 Research / proof of conceptAdversarial evasion
The Azure Red Team conducted an automated red team exercise that continuously manipulated target images to induce misclassifications in a Microsoft edge AI product. The finding highlights adversarial evasion risks in machine learning models.
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
- products
- Microsoft Edge AI Product
- incident date
- 31 Mar 2023
- first reported
- 31 Mar 2023
- origin
- AVID
- classifier confidence
- 0.85 · published at or above 0.80; see the methodology
- tags
- adversarial-evasion · red-team · edge-ai
- record
- created 2026-10-18 06:56Z · updated 2026-10-18 06:56Z · json
Sources · 2
- 2023-03-31AVID-2023-V011: The Azure Red Team performed a red team exercise on a new Microsoft product designed for running AI workloads at the edge.AVID · github.com/avidml/avid-db/blob/main/vulnerabilities/2023/AVID-2023-V011.json
- 2023-03-31Microsoft Edge AI EvasionMITRE ATLAS · atlas.mitre.org/studies/AML.CS0011
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