DecodingTrust-Agent Platform (DTap): A Controllable and Interactive Red-Teaming Platform for AI Agents
AI agents are increasingly deployed across diverse domains to automate complex workflows through long-horizon and high-stakes action executions. Due to their high capability and flexibility, such agents raise significant security and safety concerns. A growing number of real-world incidents have shown that adversaries can easily manipulate agents into performing harmful actions, such as leaking API keys, deleting user data, or initiating unauthorized transactions. Evaluating agent security is inherently challenging, as agents operate in dynamic, untrusted environments involving external tools, heterogeneous data sources, and frequent user interactions. However, realistic, controllable, an...
| Authors | Zhaorun Chen, Xun Liu, Haibo Tong et al. |
|---|---|
| Primary category | cs.AI |
| Published | 6 May 2026 |
| Last updated at source | 6 May 2026 |
Connected in the knowledge graph
- AI-Secure/DecodingTrust-Agent-PlatformDataset · cited by
- Sizhe-Chen/Qwen3.6-27B-Instruct-SecPOModel · cited by
- AI-Secure/DTap-Bench-Agent-TrajectoriesDataset · cited by
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