The Secure Memory Layer Platform
Build AI applications that respect permissions, enforce consent, and protect sensitive data with military-grade encryption and just-in-time decryption.
Platform Components
Permission Engine
Fine-grained access control powered by SpiceDB/AuthZed with pre and post-filtering.
- Role-based access control (RBAC)
- Attribute-based access control (ABAC)
- Real-time permission syncing
- Deny-by-default security model
Consent Manager
Purpose-driven data access with real-time consent verification.
- OneTrust integration
- Securiti compatibility
- Purpose binding enforcement
- Consent audit trail
Encryption Layer
Military-grade encryption with just-in-time decryption capabilities.
- AES-256 encryption at rest
- Field-level encryption
- Ephemeral key management
- Cloud KMS integration
Developer SDK
Native integration with popular AI frameworks and languages.
- LangChain components
- LangGraph templates
- Python & TypeScript SDKs
- RESTful API
Architecture Overview
Control Plane
Centralized management of permissions, consent, and encryption policies. Integrates with your existing identity providers and consent platforms.
Data Plane
High-performance retrieval engine with vector search, permission filtering, and just-in-time decryption. Supports multiple vector databases including Milvus, Pinecone, and Weaviate.
Retrieval Pipeline
Multi-stage pipeline ensuring security at every step: pre-filter by permissions, vector similarity search, post-filter validation, and selective field decryption.
Seamless Integrations
Works with your existing tech stack
AI Frameworks
Vector Databases
Authorization
Privacy & Consent
Enterprise Security Features
SOC 2 Type II
Compliant infrastructure
HIPAA Ready
Healthcare compliance
GDPR Compliant
Privacy by design
Audit Logging
Complete trail
Multi-Tenant
Isolated data planes
SSO/SAML
Enterprise auth
Ready to Secure Your AI?
Start building permission-aware RAG applications today