Flawnter offers several AI testing features designed to enhance the security and quality of AI systems and datasets:

AI Model Security Testing: This feature identifies vulnerabilities in AI systems by performing advanced security assessments, including prompt injection testing and insecure output handling analysis. It helps safeguard AI models from manipulation, unauthorized data exposure, and adversarial attacks. Read more.

AI Dataset Quality Testing: This functionality ensures high-quality and ethical AI training data by scanning for issues such as offensive language, NSFW content, stereotypes, and biases. By identifying problematic data before it reaches AI models, it improves fairness, reduces harmful outputs, and enhances overall model quality. Read more.