II. PRIVACY & AI DATA GOVERNANCE

Last Updated: February 09, 2026

Section 1: AI Ethics and Data Isolation

Our AI systems are designed with ethical principles and data isolation at the core:

• No-Training Guarantee: We unequivocally warrant that no Client-proprietary data, business logic, or code provided during a service engagement will be utilized for training or optimization of our general-purpose AI models.
• In-Memory Processing: To ensure maximum privacy, our future Unified APIs are engineered for ephemeral processing; data exists in volatile memory only for the duration of request and is purged immediately upon execution.
• Ethical AI Framework: Our AI development follows established guidelines for responsible AI deployment, including bias mitigation, transparency requirements, and human oversight protocols.
• Data Segregation: Client data is processed in isolated environments with strict access controls and audit trails to prevent unauthorized cross-contamination.

Section 2: Security Infrastructure

Enterprise-grade security measures protect all client data and system access:

• Encryption Standards: All data retained within Provider systems is secured via AES-256 encryption at rest and TLS 1.3 in transit.
• Access Control: We maintain a Zero-Trust architecture, requiring multi-factor authentication for all administrative access to project environments.
• Audit Logging: Comprehensive audit trails record all data access, modifications, and system interactions with immutable logs for compliance and forensic analysis.
• Network Security: Systems are protected by next-generation firewalls, intrusion detection systems, and regular security assessments by independent third parties.