Detect and filter injection attacks in LLM prompts by using pattern matching and intent analysis to block malicious inputs.Here is the code snippet you can refer to:

In the above code, we are using the following key approaches
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Regex-Based Injection Detection: Identifies patterns commonly used in prompt injection attacks.
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Real-Time Filtering: Blocks suspicious prompts before reaching the LLM.
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Customizable Rules: Extendable with additional injection patterns as threats evolve.
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Security Enhancement: Prevents malicious manipulation of AI behavior.
Hence, by implementing a pattern-based detection mechanism, we can effectively mitigate prompt injection attacks and maintain LLM integrity.