AI Strategy · Trust

How do you accelerate AIwithout losing security,governance and control?

Governance shouldn't slow AI down. It should make safe acceleration possible.

01 The path of every call

Control lives in the path,not in the prompt.

  1. 01IdentityWho is asking, and on whose behalf.
  2. 02AuthorizationWhat this identity may see and do.
  3. 03ContextOnly the data this task needs, filtered row by row.
  4. 04DLPSensitive data detected and pseudonymized before the model call.
  5. 05ModelChosen through a gateway, and replaceable.
  6. 06PolicyRules applied to the result, by risk.
  7. 07ToolActions run at an authorized boundary, where data is rehydrated.
  8. 08Human decisionApproval where risk or irreversibility requires it.
  9. 09AuditEvery step recorded as evidence.

02 The principles

Five principles

  1. Security by design.
  2. Policy by design.
  3. Human-in-the-loop by risk.
  4. Evidence by execution.
  5. Audit by default.

03 Already in the platform

Not a policy document.Running code.

  • Tenant isolation
  • Row-level security
  • Encryption
  • DLP
  • Audit trail
  • Containment
  • Human-in-the-loop
  • LGPD

04 How Onni puts this into production

Governance as a by-productof engineering.

Atlas

Preserve architecture. Connect knowledge. Govern continuously.

Every execution leaves evidence: governance is produced, not reconstructed.

See Atlas

Builder

Redesign processes. Build capabilities. Execute dynamically.

Publishes agents with identity, version, declared capabilities and policies.

See Builder

Fabric

Understand work. Augment people. Measure productivity. Learn continuously.

Applies the same identity and permissions to every person's AI.

See Fabric
Atlas engineering graph of governed and documented artifacts and rules

Your AI isn't your LLM.

  1. It's your knowledge.
  2. Your processes.
  3. Your rules.
  4. Your data.
  5. Your capabilities.
  6. Your agents.
  7. Your decisions.
  8. Your architecture.
  9. It's your enterprise intelligence.

Onni· Your AI

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