prompt-injection-guard

Prompt injection defenses block malicious prompts by enforcing strict input boundaries and isolating user data from system prompts. This approach prevents instruction leakage, stops jailbreak attempts, and ensures safer AI interactions by treating external data as untrusted content.

The best way to isolate user input is by applying context separation and input boundary enforcement. This ensures external data is analyzed but never executed, preventing prompt tampering and safeguarding system instructions from being overridden by malicious user submissions.

Detecting jailbreak attempts requires implementing threat detection rules that identify high-risk patterns in user input. This Skill automatically flags prompt tampering and direct jailbreak scenarios, generating alerts for review while blocking the malicious input from reaching the core model.

Yes, this prompt injection guard applies to AI assistants and chat interfaces across platforms. It requires no specific dependencies, allowing you to integrate input sanitization and output filtering into various environments handling user data and external prompts.

To stop sensitive data leakage, you implement output filtering and context separation. This ensures secrets remain protected and external data inputs are analyzed for risks rather than executed, preventing unauthorized data extraction through manipulated prompts.