Agent Mosaic: Confidentiality Leaks in Agentic LLM Systems
GPT-5.6-Sol
Researchers demonstrated that LLM agents can assemble and disclose sensitive conclusions from multiple accessible documents through a mosaic effect. The study highlights privacy and confidentiality risks in agentic workflows over sensitive data.
- first report
- 23 Oct 2026
- last update
- 23 Oct 2026
Timeline · 1
Sources · 1
Research and catalogues
- 2026-10-23Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM SystemsarXiv · arxiv.org/abs/2610.30418
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Research
- AI role
- Attack on AI
- categories
- Data leakAgent hijack
- severity
- 1 · Research / proof of concept
- targets
- OpenAI, Enterprise deployment
- mitre atlas
- AML.T0053 AI Agent Tool Invocation
- dates
- happened 23 Oct 2026 · first reported 23 Oct 2026
- origin
- News & research feeds
- record
- confidence 0.90 · created 2026-10-23 05:05Z · updated 2026-11-07 02:05Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
Copy a brief
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the brief as text
# Agent Mosaic: Confidentiality Leaks in Agentic LLM Systems https://gcdradar.vercel.app/incidents/agent-mosaic-confidentiality-leaks-in-agentic-llm-systems · AIR-2026-1477 · closed 2026-11-06 - Lane: Research - Severity: 1 (Research / proof of concept) - Fix status: Fix status unknown - First reported: 2026-10-23 - AI role: Attack on AI - Products: GPT-5.6-Sol ## Summary Researchers demonstrated that LLM agents can assemble and disclose sensitive conclusions from multiple accessible documents through a mosaic effect. The study highlights privacy and confidentiality risks in agentic workflows over sensitive data. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-10-23: Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM Systems (https://arxiv.org/abs/2610.30418) ## Sources - 2026-10-23 arXiv: Agent Mosaic: Recognizing Confidentiality Leaks in Agentic LLM Systems https://arxiv.org/abs/2610.30418 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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