Autonomous Workforce Privacy & Sovereignty

AURORA9 is committed to absolute data sovereignty. This framework explains how our autonomous agents interact with your 1P and 3P commerce data within our AWS-native secure infrastructure.

Last updated: May 10, 2026

The Sovereignty Framework

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Zero-Knowledge Agents

Our agents operate in private AWS instances. We never use your brand's data to train global LLM models.

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Decision Transparency

Every autonomous action is logged in an immutable ledger via the PON™ engine for full compliance auditing.

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SP-API Handshake

We utilize encrypted event-driven webhooks to minimize data exposure and optimize Amazon API usage.

Architectural Data Ingestion

  • 1P/3P Credential Handshakes: Secure SP-API and Vendor Central keys.
  • Omni-Synergy™ Data Streams: Real-time inventory and pricing signals.
  • Agent Task Logs: Historical decision pathways for workforce optimization.
  • Market Sentiment Data: Anonymized competitive landscape signals.
  • Compliance Records: Automated audit trails for Amazon policy adherence.

Autonomous Processing Purpose

  • Workforce Orchestration: Enabling agents to synchronize 1P/3P global operations.
  • Reasoning Generation: Powering the PON™ engine to provide explainable decision logic.
  • API Optimization: Utilizing ACRE™ to mitigate Amazon usage fees.
  • Margin Defense: Identifying and preventing shortage claim penalties.
  • Governed Autonomy: Ensuring agent actions remain within your defined guardrails.

Brand Sovereignty Rights

As the governor of your autonomous workforce, you maintain absolute control over your data environment. You have the right to audit all PON™ decision trails, purge agent memory windows, and revoke 1P/3P access handshakes at any time.

Contact Privacy Governance