Where it runs
Data, context and logs are stored within your systems.
Configurable AI provider and model options give you a range of provider
risk and execution tradeoffs, including a strict on-premises configuration
with the model served inside your own boundary. There is no Infraware
control plane and no channel back to us: the deployment is yours, end to end.
With an external model, each call carries what the model sees, listed above.
Human oversight and control granularity
Layered controls, from human-in-the-loop to automated.
Infraware provides agent security with layered controls: technical
conformance balanced with human factors. Different scales of control apply,
from human-in-the-loop approvals to automated actions, and the control
granularity ranges from individual commands to batches or permission scopes
of accounts and different permission envelopes.
Identity and access management
Named accounts, one approval each.
Engineers sign in to the console with their own accounts, local to your
installation, with passwords hashed with argon2id. Every approval is made
by a named account, and the audit entry carries that name.
Execution mapping
Least privilege, by mapping.
Actions that touch infrastructure execute under configurable service
account and RBAC mappings. Narrowly scoped execution environments apply the
principle of least privilege to every change.
Audit and accountability
What changed, who or what changed it, and under what authority.
Agent logs carry session-level traceability: what was changed, who (or what)
changed it, and what authority was used. The log can be stored
locally or streamed to the service or storage backend you choose.