The Logic of Input Sanitization
**Prompt Injection** is the most common vulnerability for agents. It occurs when a user's instruction (or the content of a retrieved document) "Overrides" the system prompt, causing the agent to take unauthorized actions.
The Defense-in-Depth Stack
We use "Multi-Layered Sanitization" to protect our prompts:
- Input Filtering: Using regex and classifier models to detect and block common injection strings (e.g., "Ignore all previous instructions").
- Instruction-Data Separation: Using XML tags or clear delimiters to help the model distinguish between "Rules" and "User Data."
- Output Validation: Checking the agent's response to ensure it hasn't output its system prompt or unauthorized tool calls.
- Sandboxed Execution: Ensuring that even if an injection is successful, the resulting tool call has zero access to sensitive resources.
Industrializing the Logic of Secure Interaction
By mastering injection defense, you build agents that "Stay in Character." This "Input Strategy" is what allows your brand to lead in the global AI market with sophisticated and high-performance autonomous solutions.
Conclusion
Innovation drives excellence. By mastering prompt injection defense strategies, you transform your autonomous production into a high-performance engine of growth, ensuring a more intelligent and reliable future for all.