The Scanner AI found something on IntellectSafe that needs your input before I can proceed.
The Research.tsx page is currently a static informational component with hardcoded text. Meanwhile, the system maintains a library of actual attack patterns and research findings in data/rag_fallback/*.json. There is currently no mechanism to surface these real-world "near miss" examples or threat categories on the Research page. I suggest implementing a backend endpoint to fetch aggregated statistics or anonymized examples from the RAG fallback data to make the Research page dynamic and evidence-based. Please confirm if the Research page should remain a static marketing/info page or if it should be integrated with the actual safety data.
Please reply with your decision and I'll pick it up on the next cycle.
Generated by Triple-AI Pipeline (Scanner flagged OPEN_ISSUE)
The Scanner AI found something on IntellectSafe that needs your input before I can proceed.
The Research.tsx page is currently a static informational component with hardcoded text. Meanwhile, the system maintains a library of actual attack patterns and research findings in data/rag_fallback/*.json. There is currently no mechanism to surface these real-world "near miss" examples or threat categories on the Research page. I suggest implementing a backend endpoint to fetch aggregated statistics or anonymized examples from the RAG fallback data to make the Research page dynamic and evidence-based. Please confirm if the Research page should remain a static marketing/info page or if it should be integrated with the actual safety data.
Please reply with your decision and I'll pick it up on the next cycle.
Generated by Triple-AI Pipeline (Scanner flagged OPEN_ISSUE)