Separation of workloads before AI wasn’t easy, but it was far more straightforward. Servers sat in data centers, VLANs segregated packets, firewall rules managed ingress/egress, and physical cables separated packets to and from their destinations. Now, flip on an agent, and it has access to almost everything by default. Enterprises cannot operate with that default, and in this article, you’ll learn how to implement true sandboxing at every layer that matters. Why aren’t containers enough to sandbox AI agents? When you run a container (think Docker), it’s a lightweight package that runs as an...

Source: The New Stack