Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Most attempts to control AI agents work at the model layer (alignment, system prompts) or the application layer (guardrail libraries, output filters). Both share a flaw: the thing being secured is also the thing doing the securing. A sufficiently confused or sufficiently compromised agent can talk its way past its own instructions. OpenShell takes a different position, and it is the right one. Put the controls in the environment, where the agent cannot negotiate with them.

As Kubernetes clusters scale from a few development sandboxes to massive, multi-tenant production environments, platform teams often find themselves facing a configuration management crisis. A small number of microservices suddenly demand hundreds of individual Kubernetes NetworkPolicy objects. Managing them becomes operationally expensive, auditing them is difficult, and a single developer misconfiguration can easily drop critical production traffic or open a massive security hole.