Catching AI Red-Handed in Financial Data
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When I was building security auditing tools like Git Secret Scanner, the rules were binary: a vulnerability exists, or it doesn't. But when you start building Generative AI pipelines for institutional finance, things get dangerously blurry. Almost every RAG tutorial online shows you how to chunk a PDF, throw it into a vector database, and build a chatbot. That works fine for toy applications. But in an enterprise banking environment, a single hallucinated decimal point or a swapped currency…
1Key Takeaways
- When I was building security auditing tools like Git Secret Scanner, the rules were binary: a vulnerability exists, or it doesn't.
- But when you start building Generative AI pipelines for institutional finance, things get dangerously blurry.
- Almost every RAG tutorial online shows you how to chunk a PDF, throw it into a vector database, and build a chatbot.
- That works fine for toy applications.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that when I was building security auditing tools like Git Secret Scanner, the rules were binary: a vulnerability exists, or it doesn't.
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