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Large Language Models for Structured Clinical Data Analysis: Dual-Agent Grounding and Validation

Objective: To develop and characterize CLEAR-Med, a dual-agent framework for natural-language analysis of structured clinical data that separates SQL-based invocation from independent validation. Methods: CLEAR-Med uses one agent to translate a question into executable Structured Query Language (SQL), retain the executed query and database result, and produce a draft. Deterministic checks and a…

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Prompt Injection Is the New SQL Injection: Building Resilient AI‑Powered Applications

Originally published on tamiz.pro . The rapid adoption of Large Language Models (LLMs) has introduced a new class of vulnerabilities that directly mirrors the legacy threats of the early web.

  • Prompt injection parallels SQL injection, a new AI security threat.
  • LLMs treat all input as raw text, lacking clear code/data distinction.
  • Defensive strategies from SQL injection needed for resilient AI apps.

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