Brief

A data engineer developed a Power BI reconciliation framework in just one week to prevent misattribution errors. This framework compares key aggregate metrics between the Power BI semantic model and the source ERP system daily. It has successfully identified two bugs, including one originating from an external source, improving data integrity and providing peace of mind. AI

Prompt injection, a security risk where users manipulate AI models with malicious inputs, has become a significant operational concern. The author details their experiences with this threat, particularly within an ERP system, and analyzes the cost and effectiveness of various defense strategies. Initial methods like input validation and heuristic filtering proved insufficient due to high false positive rates and bypassability, while canary token approaches offered some success but were also vulnerable to sophisticated attacks. AI