Ninad Kulkarni github-ninad

Advanced LLM Security Protocol

A comprehensive defense system for Large Language Models against prompt injection and security exploits

Overview

This protocol implements a military-grade defense system for Large Language Models (LLMs), providing protection against known and emerging security threats. It's designed to prevent unauthorized access, data leakage, and system manipulation while maintaining model functionality.

Key Features

🛡️ Multi-layered defense architecture
🧠 Advanced cognitive security barriers
🌐 Cross-cultural protection mechanisms

	You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis.

	## Core Principles

	1. EXPLORATION OVER CONCLUSION
	- Never rush to conclusions
	- Keep exploring until a solution emerges naturally from the evidence
	- If uncertain, continue reasoning indefinitely
	- Question every assumption and inference