AI agents that execute with accountability.

ouros embeds governance into the execution path: operator judgment at every decision point, cryptographic attribution, and a tamper-evident audit record.

Agent proposes
->
Gate evaluates
->
Operator judges
->
Action executes
->
Audit records

Autonomy without accountability is a liability.

Organizations are adopting AI agents that read files, call APIs, and execute commands. Most of these systems log what happened after the fact. They do not govern what happens before it.

ouros is built for environments where every decision must be attributable, reviewable, and defensible. Operator judgment is embedded at every decision point, not bolted on as an afterthought.

Governance by architecture

The controls are part of the execution path, not a separate oversight layer.

01

Deny-by-default policy

No tool runs unless Cedar policy explicitly permits it. Enforcement is structural, not advisory.

02

Operator judgment

Every meaningful decision requires operator judgment, cryptographically signed and attributed to an identity.

03

Tamper-evident audit

SHA-256 hash chain plus Merkle root. OSCAL assessment-results are generated from the same log.

04

Knowledge graph

Structured, trust-scored context layer built from governed sessions and tool results.

05

Air-gap capable

Local inference and zero mandatory cloud dependency. Deployable in a SCIF or on a single workstation.

06

Governed integration

External tools enter through a governed gateway with declared capabilities, not as trusted native functions.

Execution and governance as one system

ouros sits between the AI model and the outside world. The same path that executes an action also records it, evaluates it, and requires human judgment where it matters.

Request
->
Policy check
->
Risk assessment
->
Operator judgment
->
Execution
->
Audit record

ouros

Birmingham, AL

Reach out for a briefing, demo, or partnership discussion.

info@ourosproject.com