AI/Security/Attack/Prompt/Injection
Properties
- tags
- AI/Security/Attack
Prompt Injection
- A security vulnerability where malicious input is crafted to manipulate or override the intended behavior of an LLM application
- Attackers inject malicious instructions into prompts to:
- Bypass safety measures
- Extract sensitive information
- Manipulate the AI's behavior
- Gain unauthorized access to systems
Types
- Direct Prompt Injection: Malicious input is directly inserted into user prompts
- Indirect Prompt Injection: Malicious content is embedded in data sources that the AI processes (e.g., web pages, documents, GitHub issues)
Detection and Testing
- PromptFooAI - Testing framework for detecting prompt injection attacks
- SplxAI - Automated security testing and continuous protection for AI systems
Related Concepts
- AI/Security/Attack/Toxic Agent Flow - Use of indirect prompt injection to trigger malicious tool use sequences
Pages tagged with "ai/security/attack/prompt/injection"