R&D Innovations Repository

Training an LLM to detect lookalike domains to thwart attempted vendor fraud.

Using LLMs to produce embeddings that represent semantic meaning of a word or phrase in order to categorize text.

Using LLMs for large scale conversation evaluation.

Building ChatGPT for Security Analysts

Counting the frequency of certain suspiciousness characteristics in a customer's environment helps improve the performance of our detection engine.

The detection team utilizes a large language model to automatically assign names to complex detection rules.

We've built a large language model that can interpret our detection signals to make an attack/safe judgment on a message.

A large language model generates detailed descriptions of each signal that our detection engine utilizes.