Strategic Proposal: Neutralizing AI Prompt Injection via Recursive Honey-potting Submitted by: Adam Eehan Reference ID: VRP 493408185 Topic: Active Cyber-Defense & AI Security
Strategic Proposal: Neutralizing AI Prompt Injection via Recursive Honey-pottingSubmitted by: Adam EehanReference ID: VRP 493408185Topic: Active Cyber-Defense & AI Security1. The Problem: Prompt InjectionCurrent Large Language Models (LLMs) like Gemini are vulnerable to "Prompt Injection" attacks, where malicious users trick the AI into bypassing safety filters or revealing internal system instructions.2. The Solution: Recursive Honey-pottingInstead of just blocking an attack, my strategy involves creating a "Digital Trap".The Mechanism: When the system detects a suspicious or high-risk prompt, it doesn't just say "Access Denied." Instead, it triggers a Recursive Honey-pot.The Decoy: The system serves the attacker "Decoy Data" (fake but realistic-looking internal info).The Trap: As the attacker tries to use or dig deeper into this decoy data, the system recursively creates more fake layers, keeping the
