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Security / AI

Securing AI Model Deployments with SELinux

We assess the effectiveness of SELinux in protecting AI model deployments on RHEL 9, demonstrating its ability to block unauthorized access, modification, and resource exploitation through mandatory access control.

Rudra Pathak Harsh Dhruv Dr B Thangaraju
By  Rudra Pathak, Harsh Dhruv & Dr B Thangaraju
Updated / Published 6 min read
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  • Rudra Pathak

    Rudra Pathak

    Rudra Pathak, a postgraduate student in Computer Science Engineering at IIIT-Bangalore is focused on building secure and resilient architectures for real-world machine learning deployments.

  • Harsh Dhruv

    Harsh Dhruv

    Harsh Dhruv, a postgraduate student in Computer Science Engineering at IIIT-Bangalore focuses on how SELinux and system-level controls can enhance the reliability and security of machine learning in production environments.

  • Dr B Thangaraju

    Dr B Thangaraju

    Dr. B. Thangaraju is a Professor at IIIT-Bangalore, where he leads the Open Source Technology Lab. With a PhD in Physics, he brings more than two decades of experience in Linux kernel programming, DevOps, and cloud-native technologies.