Prompt injection occurs when an attacker submits a malicious input that alters how an AI model interprets its instructions. In LLM applications, this often results in models ignoring guardrails or performing unintended actions. For example:
Prompt injection is a growing concern for any app that uses generative AI. It can be as simple as hiding a malicious instruction in a user prompt—or as complex as chaining model calls that pass flawed context forward.
The risk increases when models are connected to tools (e.g., plugins or APIs), or when users interact through natural language. Without detection and filtering, prompt injection can lead to reputational damage, data exposure, or compliance violations.
How PointGuard AI Helps:
PointGuard AI defends against prompt injection across the stack. Its runtime firewall inspects prompts and responses for injection attempts in real time, blocking or redacting them before they reach the model. Red teaming tools simulate prompt injection during testing, while posture controls enforce safe model behavior across environments.
Learn more: https://www.pointguardai.com/ai-runtime-defense
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