prompt-guard

To detect prompt injection, scan text data using pattern matching against predefined rules to identify role overrides, command execution attempts, and evasion techniques. This classifies inputs into dangerous, suspicious, or safe categories, safeguarding AI systems from malicious manipulation.

The best way to classify risk levels for suspicious inputs is to apply threat detection logic that assigns a risk level of dangerous, suspicious, or safe to each detected prompt injection pattern. This enables prioritized security auditing and response.

Yes, you can use pattern matching alone to secure your AI by scanning text for known dangerous and suspicious injection patterns. This proactive content moderation layer identifies role overrides and evasion techniques to prevent malicious behavior.

You need to run threat detection for AI safety and content moderation before processing user-generated content that will be fed into a sensitive AI model. This proactively identifies and flags attempts to manipulate the AI's behavior or extract confidential information.

Yes, prompt injection detection works for security auditing of text data by applying risk classification to flag known evasion techniques. It scans provided text to identify potentially harmful attempts, allowing for prioritized response to safeguard AI systems.