Dive into AI security!
Excited to share some incredible resources at the forefront of securing AI applications! From the OWASP Top 10 for Large Language Model Applications to Microsoft’s meticulous Vulnerability Severity Classification for AI Systems, these tools are not just guidelines but a proactive stance in fortifying against potential risks. Let’s dive into the forefront of AI security together! 🛡️✨
✅ OWASP Top 10 for Large Language Model Applications
The project provides a list of the most common and critical vulnerabilities in LLM applications, such as prompt injection and insecure output handling, emphasizing potential consequences like unauthorized access and data breaches.
✅ OWASP Machine Learning Security Top 10
It outlines the top 10 security issues in machine learning systems, with specific concerns ranging from input manipulation and data poisoning attacks to model inversion, membership inference, model stealing, AI supply chain attacks, transfer learning attacks, model skewing, output integrity attacks, and model poisoning.
