Trust Center & AI Governance
RHEMATI designs secure enterprise platforms under Clean and Hexagonal Architecture. Our approach is not commercial, but purely engineering, based on strict governance, risk mitigation, and World Class regulatory compliance.
Foundational Models Compliance
We orchestrate the most advanced Foundational Models on the market, contractually guaranteeing the principle of Zero Data Retention. Your corporate data is never used to retrain artificial intelligence models.
| Foundation Model | Certifications / Framework | Data Retention | Encryption |
|---|---|---|---|
Anthropic (Claude) Deployment under ISO/IEC 42001:2023, SOC 2 Type II certification, and HIPAA compatibility. Contractual guarantee of non-use of prompts or corporate data for retraining foundational models. | ISO 42001 / SOC 2 | Zero Data Retention | AES-256 / TLS 1.3 |
Google Cloud AI (Gemini) Native integration under the SAIF (Secure AI Framework), leveraging infrastructure with global certifications (ISO 27001, SOC 2) and configurable data residency. | SAIF / ISO 27001 | Zero Data Retention | CMEK Supported |
OpenAI (Enterprise/API) Compliance with ISO 27701 (Privacy Information Management) and enterprise access controls (RBAC) with AES-256 encryption at rest and TLS 1.3 in transit. | ISO 27701 / RBAC | Zero Data Retention | AES-256 / TLS 1.3 |
Meta (Llama / Open-Weights) For maximum secrecy environments, RHEMATI deploys Llama in Virtual Private Networks (VPC), delegating 100% of privacy and data governance to our own sovereign cloud infrastructure. | Self-Hosted / VPC | Air-Gapped / Isolated | Network Level |
Isolation and Sovereignty Architecture
Our stance is uncompromising: data isolation is not a configuration, it is a topological and mathematical guarantee.
Multitenant Isolation (Identity & Data Isolation)
Our uncompromising stance on data segregation. Zero Trust identity using one Realm per Tenant in Keycloak and mathematical segregation at the database level via the Schema-per-Tenant pattern.
Documentary Architecture and Enterprise RAG
Strategic storage (MinIO for local/staging, GCS for production) ensuring absolute parity. Vector processing via pgvector behind internal firewalls and hexagonal adapters.
Autonomous Agents Control (MCP) and OWASP
Root-cause engineering for AI Agents. CI/CD pipelines with deterministic validation against Prompt Injection, operating on immutable clusters (Ubuntu 24.04 / macOS M-Series).
Root-Cause Engineering Manifesto
RHEMATI rejects temporary solutions or superficial patches in the persistent memory of AI agents. Mitigations for hallucinations and misalignments are addressed strictly through Root-Cause Engineering.
- ↳Deterministic validation against Prompt Injection (OWASP LLM01:2023).
- ↳Agent isolation under the Model Context Protocol (MCP).
- ↳Immutable inference clusters operating on Ubuntu 24.04.
Data Processing Addendum (DPA)
Access the binding agreement detailing our information custody chain, encryption policies, and strict Zero Data Retention manifesto for third-party model training.