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Credal gives you everything you need to supercharge your business using generative AI, securely.
by Ravin Thambapillai
Enterprises are starting to use LLMs, but we’re still in the early days.
We’re all familiar with the basic use cases: search over documents, customer support, and so on. But the harder problems come with regulated enterprises dealing with large amounts of sensitive data — where you have to deal with thorny technical issues like data integration, prompt injections, permissions, and auditability.
This post lays out a case study of how LLMs can be used in an AML (anti money-laundering) context, and some of the gotchas along the way.
This is the first in a series of case studies of how businesses are unlocking these more complex LLM-based workflows with regulated, or sensitive, data. Hopefully it can inspire you too!
Credal gives you everything you need to supercharge your business using generative AI, securely.
