Summary
In this chapter, we’ve learned how to utilize multiple AI tools for the purpose of custom detection development. We learned about best practices for interacting with LLMs so we could augment our workflows with Poe-hosted chatbots and SOC Prime’s Uncoder AI. We also found ways of batching our work using the same process by combining the ability to crawl through intelligence sources using Python to iterate a series of prompts to our chatbot and save the output to a file. Finally, merging the scripts of the two functions as one allowed us to further extend what we can do to queue and prioritize work for the engineering team.
In the next chapter, we’ll learn how to automate testing the logic of our detections within the CI/CD pipeline.
