Sandboxing

Learn how to safely deploy AI agents that perform real actions like refunds and database writes, focusing on deterministic control layers and separating LLM intent from critical execution.

Explore cutting-edge strategies for securing sensitive data when AI agents operate on local machines. Learn about proxy-based access, runtime secret injection, and context scrubbing techniques.

Explore why developers are building custom AI/LLM agent sandboxes, focusing on ensuring agent workflow convergence, managing resource consumption, and the critical need for robust, user-friendly security solutions.

Discover advanced strategies for sandboxing coding agents, from resource-efficient MicroVMs like Firecracker and userspace kernels like gVisor to physically airgapped systems, ensuring robust isolation and security.

Explore practical strategies for safely sandboxing AI coding agents, from VMs and containers to custom solutions, and learn from real-world "hard-earned" lessons to protect your development environment.

Explore current user sentiment around `snapd` on Ubuntu, covering frustrations like performance, theming issues, and system integration. Discover why some users stick with it while others migrate to alternative distributions for a cleaner experience.

Explore the fundamental reasons capability-based security, a powerful "whitelist" approach, struggles for widespread adoption and discover how its principles are being integrated into modern systems to build a more secure digital future.