Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems
Data agents integrate LLM-driven reasoning with relational data access, executable analytical tools, and multi-step workflow orchestration, making them increasingly central to enterprise analytics. This integration introduces new security vulnerabilities across data resources, database execution, and agent reasoning, recombining concerns from database security and general-purpose LLM-agent security into failure modes that neither line of work captures on its own. To address this gap, we present a systematic security study of data agents. Our contributions are threefold. First, we develop a layered vulnerability framework that identifies eight data agent-specific risks across interpretatio...
| Authors | Kuncan Wang, Ziting Wang, Peizhuo Lv et al. |
|---|---|
| Primary category | cs.CR |
| Published | 7 June 2026 |
| Last updated at source | 7 June 2026 |
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