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ROPE: Provable Defense Against Indirect Prompt Injection in LLM Agents
- Engineer — Learn: ROPE introduces a structural origin-tracking approach that provably limits indirect prompt injection in tool-calling agents to under 3% success rate; worth evaluating if you are building or hardening LLM agent pipelines, but no running system change is required today.
- SOC/IR — Skip
- Leader — Learn: Provides useful framing on the attack surface of autonomous AI agents — relevant backdrop if your organization is evaluating AI agent deployments and building policy around permissible tool access.
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