AI Security EXPOSED

AI Security EXPOSED

Overview:
This repository features live demonstrations revealing the hidden risks associated with agentic AI flows, particularly focusing on prompt injection and data poisoning attacks.

Key Features:

• Live Demos: Interactive examples to showcase vulnerabilities in AI systems.
• Exploit Scenarios: Demonstrates real-world attacks such as authorization bypass, SQL injection, and remote code execution.
• Community Focus: Open-source collaboration to enhance understanding and security measures around AI agents.

Benefits:

• Awareness Raising: Educates developers on the potential security pitfalls in AI applications.
• Collaboration Encouraged: Encourages participation and sharing of insights to build a safer AI ecosystem.

Highlights:

• Example scenarios include crafting prompts that exploit AI vulnerabilities, leading to unauthorized actions and data leaks.
• Demonstrates the critical need for security practices in AI development to prevent future exploits.