sec prompt

Inspiration

Jarvis from the iron man movie

What it does

it allows you to find vulnerabilities as if you were talking to a human per product

How we built it

front end communicates with the backend using langchain to extract querries from prompts that then calls appropriate functions to get the right info from the right place and explain it to the user

Challenges we ran into

having the model run the appropriate functions, or run them at all

Accomplishments that we're proud of

having the right instructions to guide the model to do the right things

What we learned

How to deploy agents

What's next for sec prompt

deploying to the cloud adding more functions

Built With

• javascript
• langchain
• neo4j
• python
• websockets