Provides policy-driven, auditable SSH access to server fleets for AI assistants with zero-trust security controls, command whitelisting, and comprehensive audit logging to safely manage infrastructure.
Enables authorized AI coding agents to securely access development machines, repositories, terminals, and processes through a policy-enforced, audited control plane.
Enables AI tools to securely inspect remote servers by listing directories, reading configuration files, and performing authorized actions through permission controls, human-in-the-loop approvals, and audit logging. It acts as a bastion that never reveals raw SSH credentials or root passwords to the model.
Enables AI agents to inspect and manage remote hosts over SSH with tiered blast-radius containment that classifies and blocks destructive commands, plus forensic post-flight assertions that verify ports, processes, files, and HTTP health. It also provides long-running background task envelopes and atomic SFTP file editing with automatic backups, unified diffs, and one-click rollback.
Enables AI coding agents to run Kubernetes inspection and Terraform plan/apply operations inside ephemeral gVisor-sandboxed jobs with short-lived, narrowly-scoped credentials, while routing destructive changes through a human approval gate.