Kernel Exploits in AI Models

Kernel exploits in AI models refer to vulnerabilities that occur within the underlying operating system kernels when interacting with artificial intelligence frameworks. These exploits can manipulate AI behavior, bypass security measures, or extract sensitive data, posing significant risks to system integrity and user privacy. Understanding and mitigating kernel exploits is crucial for developers and organizations to ensure robust AI security, safeguard intellectual property, and maintain trust in AI technologies. By addressing these vulnerabilities, businesses can protect their AI-driven applications and enhance overall cybersecurity measures.

‍