Tech & Security — Secure by Design, Observable by Default

At ZynAI, we treat security, privacy, and transparency as non-negotiable foundations — not add-ons. Our architecture is engineered to meet enterprise-grade reliability while remaining accessible to small and medium businesses. Here's how we keep your data and systems safe, compliant, and resilient.

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Architecture

Our systems are built on API-first microservices that are fully containerised and horizontally scalable. This modular architecture ensures fast deployment, minimal downtime, and seamless integration with your existing IT ecosystem (CRM, ERP, or web platforms).

Features:

  • • REST & GraphQL API support
  • • Auto-scaling containers for high traffic
  • • Zero-downtime updates
  • • Cloud-agnostic deployment (AWS / Azure / GCP)
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Models

We use a hybrid model strategy, combining open-weight models (for transparency and control) with proprietary LLMs (for performance and accuracy). Where possible, we deploy task-specific lightweight models to reduce cost and latency — ensuring your AI is efficient and responsive.

Capabilities include:

  • • Natural language understanding (NLU)
  • • Image & document interpretation
  • • Predictive analytics and forecasting
  • • Embedding-based search and retrieval (RAG)
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Data Privacy

Your data is your intellectual property — and we keep it that way. All client data is fully siloed, encrypted in transit and at rest, and never used to train global models without explicit consent. Access is role-based, logged, and auditable.

Compliance:

  • • AES-256 encryption
  • • TLS 1.3 secure communication
  • • Zero data sharing without written approval
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Compliance & Governance

Our controls are aligned with international data protection and quality frameworks:

  • • SOC 2 Type II best practices
  • • GDPR & CCPA data handling compliance
  • • PII redaction & anonymisation policies
  • • Data residency options for regulated industries

We regularly perform third-party penetration tests, maintain audit logs, and support client-specific compliance audits upon request.

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Guardrails & Safety

We embed responsible AI principles into every workflow. Each model is deployed with content filters, prompt isolation layers, and rate-limiting mechanisms to prevent misuse, bias, or drift.

Safety Frameworks:

  • • Human-in-the-loop approvals for sensitive actions
  • • Automatic fallback responses on confidence drops
  • • Ethical use and transparency commitments
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Observability

Every system interaction is monitored end-to-end. We log all prompts, responses, and API events under Role-Based Access Control (RBAC) with retention and anonymisation policies in place. Our observability layer allows clients to trace decisions, measure ROI, and detect anomalies in real time.

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Disaster Recovery & Reliability

Business continuity is central to our platform design. We maintain multi-Availability-Zone (AZ) backups, implement automated failover systems, and define Recovery Time Objective (RTO) and Recovery Point Objective (RPO) targets for each deployment tier.

Guarantees:

  • • 99.9% uptime SLA
  • • Daily encrypted backups
  • • Incident response playbooks & escalation matrix

In Summary

ZynAI's infrastructure is built on one promise:
You can trust your AI to be safe, measurable, and built for growth.