shallow focus photography of computer codes

CryptaML

Empower developers to enhance and secure code with a single click!

Enhance Code Security

Pinpoint undetected vulnerabilities within code

Hundreds of active databases to enhance vulnerability matching

Novel rules quickly generated by GPT in real time.

Code Vulnerability Detection
Rule Writing Assistance

Empowering Developers with Innovative Solutions

CryptaML, developed by high schooler, Meghna Vikram, is a software designed to identify and rectify vulnerabilities in code, enhancing security and aiding the fight against cyber-crime.

Code on a computer
Code on a computer

95%

610

Rules currently trained to GPT model

Accuracy

Key Factors to Development

Prompt Engineering

Prompt Engineering is used to create clear and effective instructions for GPT-4, helping it to fully grasp the nuances of the task.

Semgrep

Semgrep's YAML repository has been taught to this GPT-4 model in order for it to have a structure to mimic, and to seek constant improvement.

There exists a "dictionary" of prompts to feed into GPT-4 that is tailored to a certain type of scenario to better train the model to respond efficienty.

Prompt Dictionary