SurrogateShield: Beyond Redaction for High-Utility, Privacy-Preserving LLM Interactions
SurrogateShield replaces PII with functional surrogates before queries reach third-party LLM APIs, offering higher utility than simple redaction while reducing GDPR exposure.
Summary written by editorial AI · Source link below
arXiv:2606.29567v1 Announce Type: new Abstract: LLM-based assistants transmit user queries verbatim to third-party API endpoints that lie outside the user's audit or control. When those queries contain personally identifiable information (PII), the data persists on remote infrastructure subject to breach, subpoena, or policy change. Placeholder redaction (the prevailing mitigation) suppresses PII at the cost of semantic coherence, producing structurally degraded queries and correspondingly degr
Editorial Analysis
European enterprises using cloud LLMs risk transmitting PII to uncontrolled endpoints; surrogate-based anonymisation could satisfy GDPR data-minimisation requirements while preserving output quality.
Assess whether your LLM integration layer anonymises PII before API calls and explore surrogate-replacement approaches.
Transmitting employee or customer data to third-party AI services creates GDPR liability; surrogate techniques offer a pragmatic mitigation.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
More from the AI Security Desk
- Hugging Face warns an autonomous AI agent hacked its network20 Jul
- Jailbreak Foundry: From Papers to Runnable Attacks for Reproducible Benchmarking20 Jul
- Hidden in Thought: Transferable Chain-of-Thought Artifacts Induce Harmful Behavior20 Jul
- Poison to Detect: Detection of Targeted Overfitting in Federated Learning20 Jul
- Coercion and Deception in AI-to-AI Management: An Agentic Benchmark of Unprompted Escalation20 Jul