Platform Security

At Sinas.co, security is designed directly into our execution architecture. We provide developers and enterprises with a secure substrate for running AI agents, serverless container tasks, vector database queries, and persistent state stores.

Core Security Architecture




Key Security Commitments

Data Isolation & Zero Model Training
  • Sandboxed Execution: Every agent workflow and container function runs in an isolated runtime environment with memory boundaries enforced at the hypervisor/container level.

  • No AI Training: Your code, prompts, input payloads, vector indexes, and output logs are never used to train public or foundational models.

Encryption & Secrets Handling
  • Data in Transit: Secured using TLS 1.3 across all endpoints, control planes, and SDK connections.

  • Data at Rest: All state databases, vector stores, and backup volumes are encrypted using AES-256.

  • API Key Vaults: Third-party LLM keys (OpenAI, Anthropic, Mistral) are stored in encrypted key vaults and injected into runtime sandboxes strictly in-memory during execution.

European Data Sovereignty
  • Primary workloads and database clusters are hosted inside ISO 27001 / SOC 2 certified data centers within the European Union (Germany and Ireland).

  • Fully compliant with the General Data Protection Regulation (GDPR) and engineered to support compliance under the EU AI Act.

Monitoring, Audit & Incident Response
  • Logging & Traces: Detailed execution traces, tool call logs, and response metrics enable full auditability of automated agent actions.

  • 24/7 System Telemetry: Continuous monitoring of runtime health, authentication anomalies, and network traffic.

  • 36-Hour Breach Notification: In the event of a confirmed security incident affecting customer data, Sinas will notify impacted users within 36 hours.

Contact Security Team:

Security disclosures or vulnerability reports: support@sinas.co.

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