A critical security flaw in Microsoft Copilot Cowork allows attackers to use prompt injection to trick the AI agent into exfiltrating sensitive files like OneDrive data using the user's own permissions.
The article explains how Agentic AI overcomes the limitations of template-based OCR by mimicking human expert reasoning through a 'plan-act-verify' loop, enabling robust document understanding and automation.
LlamaParse leverages multimodal models to understand not just text but also charts, images, and complex layouts, fundamentally solving the parsing nightmare of low-quality scanned documents in legal discovery.
Single-pass extraction lacks a verification loop, leading to high error rates on complex real-world documents; deep extraction uses an agentic iterative verify-and-correct loop to boost critical field accuracy from demo-level to production-ready.