Sanitization and PII Redaction
Automated identification and masking of personal data, tax identifiers, credentials, credit card numbers and protected health information (GDPR compliance).
Design · Security & data
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RAG — Secure RAG architecture, data governance and enterprise compliance
Critical infrastructure, not a plugin.
We treat Generative AI as critical enterprise infrastructure requiring strict engineering discipline, regulatory compliance and maximum data protection: every single input and output must respect confidentiality, access hierarchies and international regulations.
The principle
The challenge isn't getting the model to "answer well".
At DigitalSolutions, we do not view Generative Artificial Intelligence as a simple plugin to connect to corporate databases, but as a critical enterprise infrastructure requiring strict engineering discipline, regulatory compliance and maximum data protection.
When an organization deploys a Retrieval-Augmented Generation (RAG) system to query its internal documentation, the primary challenge is ensuring that every single input and output complies with confidentiality rules, access hierarchies and international regulations. This is our architectural and operational framework.
01 · Perimeter security
AI Firewall and WAF Proxy for external services
We are pioneers in adapting Web Application Firewall and AI Firewall concepts to intercept and route traffic toward external services and Large Language Models.
- User or processprompt / query
- AI Proxy / Firewallreal-time checks
- AI modellocal or cloud
- Output validationbefore the user
The input never reaches the AI model directly.
Prompt Injection & Jailbreak Defense
Filtering attacks aimed at manipulating system instructions or extracting confidential context (System Prompt Extraction).
Data Leakage Prevention (DLP)
Instant blocking of inputs containing trade secrets, critical source code or top-secret documents before they leave the enterprise perimeter.
Output Validation
Filtering generated responses before they reach the user, preventing critical hallucinations and unauthorized data.
02 · Synthelion
Our platform for governed enterprise AI
To put this vision into practice we developed Synthelion, our framework for secure enterprise AI orchestration, designed as a centralized Control Plane between enterprise infrastructure and generative models.
Multi-Proxy Architecture
A smart gateway dynamically routing requests to local models (Ollama, vLLM, dedicated nodes) or external Cloud APIs based on data sensitivity.
Immutable audit logging
Every interaction is logged: who requested what, which context was retrieved and what response was generated.
Model agnosticism
Any underlying LLM can be replaced or complemented without rewriting business logic, keeping security layers intact.
03 · RAG & GraphRAG
Data security and precision over aesthetics
Traditional Vector-based RAG is a solid starting point, but it has structural limits for fine-grained security and complex relationships. That is why we complement it with GraphRAG (Knowledge Graph RAG): for us, knowledge graphs are a requirement, not a visual feature.
Granular access control (RBAC / ABAC)
Vector databases rely on semantic similarity, making fine-grained security filtering challenging. GraphRAG lets us attach Role-Based and Attribute-Based Access Control policies directly to graph nodes and edges.
Marketing
Documentation
HR payroll
Legal contracts
Example: if a Marketing employee runs a search, the graph traversal physically blocks branches linked to HR payroll or Legal contracts, making it impossible for the AI to process information the user is not authorized to view.
Hallucination elimination and source traceability
With GraphRAG, Generative AI processes only contexts linked by verified, logical relationships. Every answer is traceably grounded in origin nodes, eliminating hallucinations and providing transparent reasoning paths.
- Verified logical relationships
- Answers traceable to origin nodes
- Transparent reasoning path
04 · In-house models
Beyond standard APIs
Despite the capabilities of commercial general-purpose models, we build and train custom, specialized models for many critical business processes: proprietary Small Language Models and custom neural networks trained on client data.
Total data isolation
Models run entirely on local infrastructure or air-gapped private clouds.
Domain specialization
A model fine-tuned on specific technical, legal or medical jargon outperforms generic models 100 times its size.
Cost and energy efficiency
Drastic reductions in latency and computational costs per inference compared to cloud API calls.
05 · Compliance
Regulatory landscape and preparedness
Operating with enterprise data requires strict alignment with evolving European and global regulatory frameworks. Our architecture is natively built to meet them.
EU AI Act
We structure systems to comply with the European regulation by classifying tools according to risk levels.
- Transparency & watermarking complete traceability of generated content and rigorous technical documentation.
- Impact assessment (FRIA) continuous auditing for bias, accuracy and security risks.
- Human-in-the-Loop mandatory human oversight for high-risk automated workflows.
GDPR
- Privacy by Design & Default automated anonymization or pseudonymization before the RAG pipeline.
- Right to be forgotten immediate removal of personal data from vector indexes and Knowledge Graphs.
NIS2 & Cybersecurity
- Supply chain resilience strict governance over third-party API and model providers.
- Incident management centralized logging via Synthelion to detect and report anomalies or data exfiltration.
ISO 27001 & ISO 42001
- ISO/IEC 27001 information security management, physical and logical access controls, encryption at rest and in transit.
- ISO/IEC 42001 AI Management System (AIMS): ethics, governance and traceability across the AI lifecycle.
Global provisions
We continuously align our architectures with international regulations (US Executive Orders and state privacy acts, UK AI governance, data sovereignty laws across Asia and the Middle East) for full cross-border compliance.
DigitalSolutions
Enterprise AI is governed, not just plugged in.
Let's talk about your architecture: perimeter, access, models and compliance.