ASPIRE: Agentic Safety & Prompt Injection Red-teaming Engine

arXiv:2610.08951 · cs.CR · Submitted 2026-10-06 · Read on arXiv

cs.CR

Submitted: 2026-10-06

Updated: 2026-10-06

Code: https://github.com/a2aproject/A2A

Terminology

• Benchmark — 25× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Provenance — 6× in this paper · explained in 4 episodes
• Agent Architectures — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Long-Term Memory — 4× in this paper
• AI Agents — 3× in this paper · explained in 2 episodes
• Ablation Studies — 3× in this paper · explained in 1 episode
• Trace — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Data Provenance — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Mode Collapse — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Attack Success Rate (ASR) — 1× in this paper · explained in 2 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Model Context Protocol (MCP) — 1× in this paper · explained in 8 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
• Learning to Inject: Automated Prompt Injection via Reinforcement Learning
• Know Your Agent: Reconnaissance-Driven Pentesting of AI Agents
• PI-Hunter: Automated Red-Teaming for Exposing and Localizing Prompt Injections
• Defending Against Indirect Prompt Injection Attacks With Spotlighting
• AgentDyn: Are Your Agent Security Defenses Deployable in Real-World Dynamic Environments?
• MUZZLE: Adaptive Agentic Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks
• AgentVigil: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
• ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
• PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses
• VeriGrey: Greybox Agent Validation

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