Calibrated guidelines detailing client data processing, model privacy, and compliance frameworks.
At Axisonic, data protection is embedded directly into our engineering blueprint. We implement strict transport layer security (TLS 1.3), zero-trust access controls, and end-to-end data encryption for all client files and custom server repositories.
Personal identity details and operational parameters collected during consultation or intake campaigns are stored exclusively in secure nodes with multi-factor verification gates.
When integrating custom cognitive AI agents and LLM orchestration networks (OpenAI, Anthropic, Gemini, Llama), we enforce zero-data-retention APIs where available. Your prompts, custom system templates, and business parameters are never utilized to train public foundation models.
For vector databases (Pinecone, pgvector) and RAG structures, metadata keys are securely hashed and compartmentalized to prevent cross-tenant data leakages.
We structure our application layouts and API middleware to comply with major global frameworks:
Clients can request complete data erasure and deployment teardowns at any point. Upon authorization, all system access configurations, database logs, and vector indexes associated with your project are securely purged within 48 hours.
