Prompt Filtering
Prompt Filtering is the process of analyzing user inputs before they reach an AI model to detect and block, modify, or flag harmful, malicious, sensitive, or policy-violating content.
What is Prompt Filtering?
Prompt filtering examines prompts for potential risks such as prompt injection, sensitive data, malicious instructions, prohibited content, or attempts to bypass security controls. Depending on the configured policy, a system can allow the prompt, sanitize it, block it, or send it for additional review.
Why is Prompt Filtering Important?
Prompt filtering provides an early security and safety layer for AI applications. It can reduce the risk of malicious inputs reaching models, help prevent sensitive data exposure, and enforce organizational policies before an AI system processes a request.
Common use cases
Prompt Filtering is commonly used in chatbots, enterprise AI applications, AI agents, content moderation systems, customer support platforms, and AI security solutions.