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AuraAEO Data Security & Architecture
Last Updated: May 2026
At AuraAEO, the integrity of our technical infrastructure and the safeguarding of your business information are foundational pillars. We understand the sensitivity involved in mapping competitive positioning in AI search, which is why we apply rigorous data protection standards.
1. Query Isolation and Sandboxing
All visibility audits and brand vector analyses are processed through sandboxed API relays. This ensures that the keywords, product descriptions, and brand names you enter in the analysis forms never leak into the public memory of third-party commercial models (such as OpenAI, Google, or Perplexity) and are never used as external training data.
2. Encryption and Secure Transfer
- Data in Transit: All information sent from your browser to our processing servers is encrypted using advanced cryptographic protocols (TLS 1.3 / HTTPS), preventing any network interception.
- Data at Rest: Corporate emails from the waitlist and brand profile variables are stored in databases protected by strict access control layers and encrypted storage.
3. Risk Mitigation and Infrastructure Control
- Attack Prevention: Our infrastructure features Web Application Firewalls (WAF) and Distributed Denial of Service (DDoS) mitigation systems to ensure continuous platform availability.
- Restricted Access: Access to development environments and alpha databases is strictly limited to authorized engineering personnel under multi-factor authentication (MFA) policies.