Secure and effortless AI
Protect your data with Innerlink's all-in-one AI platform — combining infrastructure and application code into a tightly integrated stack, deployable in just a few clicks.
Protect your data with Innerlink's all-in-one AI platform — combining infrastructure and application code into a tightly integrated stack, deployable in just a few clicks.
The solution features an integrated LLM suite with native RAG functionality, conversation tracking, document organization, and an intuitive interface. We believe in transparency and community collaboration. Our core platform is open source and available on GitHub:
Complete application stack including Vue.js frontend, FastAPI backend, PostgreSQL database, and embedding worker services.
Kubernetes deployment configurations for running the full stack in production using k3s and Helm.
Choose from several open source models with their recommended hardware configurations.
Deploy your favorite LLM in a fully isolated cloud environment. Complete data sovereignty with secure architecture.
Run your open-source LLM within Azure's confidential computing environments using secure enclave technology.
Our advanced Split Inference architecture separates embedding and reasoning layers with proprietary obfuscation.
Comprehensive Data Encryption - Field-level AES-CBC encryption with HMAC verification for all sensitive data, separate encryption and HMAC keys per table, and row-level security policies ensuring users can only access their own data.
Secure Database Architecture - Schema separation between admin and chat data, restricted public schema access, data classification with sensitivity levels (RESTRICTED/CONFIDENTIAL), and secure views for controlled data access.
Authentication - JWT-based authentication with short-lived access tokens (5 minutes) and refresh tokens, secure cookies with HTTP-only flag, and bcrypt password hashing.
API Security - CORS protection, role-based access control, secure headers middleware, and comprehensive input validation using Pydantic models.
Frontend Protection - Protected routes with navigation guards, automatic token refresh, strict Content Security Policy (CSP), and secure transport layer.
Network Isolation - Fully air-gapped deployment in a private VPC with no internet gateway, physically separating your AI environment from external networks and preventing data exfiltration.
Infrastructure Security - Network isolation with private subnets, controlled connectivity via secure access endpoints, strictly configured firewall rules, role-based access control with least privilege principles, and all administrative access routed through secure authenticated channels.
Istio on k3s - Automated mTLS encryption between services with certificate-based authentication, ensuring all frontend, backend, and model inference communications remain secure from network-level threats.
Transport & Storage Encryption - SSL/TLS encryption for PostgreSQL with certificate-based authentication, secure configuration requiring TLSv1.2 minimum, and EBS volume encryption for persistent storage.
Comprehensive Monitoring - CloudWatch metrics for security events, EC2 instance monitoring, and continuous compliance verification through AWS infrastructure.