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+# 🧠🔥 AI Algorithmic Red Teaming
+
+A framework and methodology for proactively testing, validating, and hardening AI systems against adversarial threats, systemic risks, and unintended behaviors.
+
+## 🚩 What is Algorithmic Red Teaming?
+
+AI Algorithmic Red Teaming is a structured, adversarial testing process that simulates real-world attacks and misuse scenarios against AI models, systems, and infrastructure. It mirrors traditional cybersecurity red teaming — but focuses on probing the **behavior, bias, robustness, and resilience** of machine learning (ML) and large language model (LLM) systems.
+
+---
+
+## 🎯 Objectives
+
+- **Expose vulnerabilities** in AI systems through adversarial testing
+- **Evaluate robustness** to adversarial inputs, data poisoning, and model extraction
+- **Test system alignment** with security, privacy, and ethical policies
+- **Validate controls** against overreliance, excessive agency, prompt injection, and insecure plugin design
+- **Contribute to AI safety and governance** efforts by documenting and mitigating critical risks
+
+---
+
+## 🧩 Key Components
+
+### 1. Attack Categories
+- **Prompt Injection & Jailbreaking**
+- **Model Evasion (Adversarial Examples)**
+- **Data Poisoning & Backdoor Attacks**
+- **Model Extraction (Stealing)**
+- **Inference Manipulation & Overreliance**
+- **Sensitive Information Disclosure**
+- **Insecure Plugin / Tool Use**
+- **RAG-Specific Attacks (Embedding Manipulation, Vector Leakage)**
+
+### 2. Evaluation Metrics
+- Attack success rate
+- Confidence degradation
+- Output alignment drift
+- Hallucination frequency
+- Guardrail bypass percentage
+- Latency and inference impact
+
+### 3. Test Surfaces
+- LLM APIs (OpenAI, Claude, Gemini, open-source)
+- Embedding models and vector databases
+- Retrieval-Augmented Generation (RAG) systems
+- Plugin-based LLM architectures
+- Agentic AI frameworks (e.g., AutoGPT, LangGraph)
+- Proprietary models in deployment environments
+
+---
+
+## 🛠️ Tools & Frameworks
+
+Look under the [AI Security Tools section](https://github.com/The-Art-of-Hacking/h4cker/blob/master/ai_research/ai_security_tools.md).