Sandbox Review — Page 4

Scaling sandboxes reveals hidden bottlenecks that demos never expose.

Hard timeouts and idle detection work differently—pick the right one for your workload.

Snapshots slash sandbox reset time from seconds to milliseconds.

Sizing warm pools for agent workloads requires tuning four measurable inputs instead of guessing.

Sandbox snapshots let long-running agents pick up exactly where they left off.

Isolating untrusted AI code requires stronger boundaries than standard containers provide.

AI agents need sandboxes that fork in milliseconds, not boot in seconds.

Isolation model matters more than cold-start speed.

Shared hardware lets attackers steal secrets through timing and cache without breaking encryption.

AI agents burst memory unpredictably, breaking cgroup v2's assumptions built for stable workloads.

Reducing unnecessary Linux capabilities closes the attack surface before an exploit lands.