MITRE ATLAS
mitre-atlas-cs0075
Model Distillation Campaigns Target Google AI Services
- Copilot & SaaS
- AI Infrastructure
- Model Theft & Capability Extraction
Google reported campaigns that used compromised credentials, fraudulent accounts and proxies to collect model outputs for distillation: training another model from a provider’s responses. A February 2026 reasoning-focused campaign exceeded 100,000 prompts; later campaigns included some above 100 million. Those are campaign query volumes, not model weights stolen or a measured replication success rate. Google says it disrupted accounts and reduced the usefulness of collected outputs.
Mapped threat techniques
AML.T0139Compromise AccountsAML.T0021Establish AccountsAML.T0008.005AI Service ProxiesAML.T0012Valid AccountsAML.T0140Centralized AI Service Request RoutingAML.T0065LLM Prompt CraftingAML.T0024Exfiltration via AI Inference APIAML.T0135Outputs from AI ModelsAML.T0005.001Replicate Behavior from Model OutputsAML.T0048.004AI Intellectual Property Theft