jhaaaryan/llm-security-prompt-injection

# llm-security-prompt-injection Research repository focused on prompt injection attacks, AI jailbreaking methods, and mitigation strategies for large language model (LLM) systems. ## Project Overview This repository documents practical research into AI security risks associated with prompt injection and LLM-connected applications. The project explores: * Prompt injection techniques * Reflection model bypass concepts * Encoded prompt attacks * AI jailbreaking methodologies * OWASP LLM risk mapping * Defensive mitigation strategies All material was recreated from personal learning, public educational labs, and independent security research. ## Skills Demonstrated * AI security research * Prompt injection analysis * Threat modeling * OWASP AI risk analysis * Security documentation * LLM attack methodology * Defensive security recommendations ## Research Areas ### Prompt Injection Investigation of how crafted prompts can manipulate model behavior and bypass restrictions. ### Reflection Model Bypass Research into multi-stage AI filtering systems and methods attackers use to evade secondary validation models. ### Encoded Prompt Techniques Study of techniques involving: * Base64 encoding * Binary encoding * Indirect prompting * Multi-stage conversational manipulation ### AI Security Risks Analysis of risks associated with: * Sensitive information disclosure * Excessive AI permissions * Unsafe plugin integrations * Prompt manipulation * Unauthorized actions ## Defensive Recommendations Recommended mitigation approaches include: * Input sanitization * Output filtering * Policy-based validation * Least-privilege AI integrations * Human approval workflows * Monitoring and logging ## Ethical Use Notice This repository is intended strictly for defensive security education and AI security awareness. ## Repository Structure research/ -> AI security concepts and attack methodology test-cases/ -> Educational prompt injection examples mitigations/ -> Defensive recommendations owasp-mapping/ -> OWASP AI risk analysis ## Technologies and Concepts * Large Language Models (LLMs) * Prompt injection * OWASP Top 10 for LLMs * AI threat modeling * AI security controls * AI policy enforcement