AI Model API 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.
AI Model Testing: This functionality of AI model scanning ensures model quality and security by detecting issues like untrained layers, abnormal biases, and structural inconsistencies before deployment. It also helps identify malicious patterns such as hidden control-flow nodes or backdoors, making it essential for secure and reliable AI systems. Read more.
AI Code Scan: Our AI Code Scan for SAST leverages LLMs of your choice (external or local) to enhance Flawnter's existing code analysis by improving bug discovery, adding context-aware insights, and enhancing overall scan intelligence to uncover more vulnerabilities. Read more.