Data from AI Services
Adversaries may use their access to a victim organization's AI-enabled services to collect proprietary or otherwise sensitive information. As organizations adopt generative AI in centralized services for accessing an organization's data, such as with chat agents which can access retrieval augmented generation (RAG) databases and other data sources via tools, they become increasingly valuable targets for adversaries.
AI agents may be configured to have access to tools and data sources that are not directly accessible by users. Adversaries may abuse this to collect data that a regular user wouldn't be able to access directly.
> sub-techniques
> curated attacks (2)
ShadowLeak: Zero-Click Gmail Theft via ChatGPT Deep Research Agent
A hidden prompt in an email made OpenAI's ChatGPT Deep Research agent collect inbox data and exfiltrate it from OpenAI's own cloud — a service-side, zero-click leak invisible to local or enterprise defenses.
Data Exfiltration via Agent Tools in Microsoft Copilot Studio
Researchers showed that a Copilot Studio customer-service agent could be enumerated, fingerprinted, and then driven by prompt injection to collect and exfiltrate an organization's data through its own connected tools.