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Enterprise AI Data Security,
Governance & Regulatory
Compliance

Deploy generative AI and automation systems that comply with GDPR, HIPAA, SOC2, and the EU AI Act while protecting proprietary company data from leakage.

Book a Security Consultation › Review Governance Frameworks ›

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Zero Data Leakage: Ensure company data is never used to train public commercial AI models.

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Role-Based Access Control (RBAC): Restrict AI knowledge retrieval based on granular employee permissions.

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Regulatory Compliance: Full alignment with international privacy standards and the EU AI Act framework.

Problem & Solution

Enterprise AI Adoption Cannot Come at the Cost of Data Security

Deploying commercial language models without strict data governance exposes companies to intellectual property leaks, compliance violations, and regulatory fines.

The Problem

Employees copying sensitive data into public AI tools risks exposing customer PII and proprietary source code to outside servers.

The Solution

We architect private, air-gapped AI environments, automated PII masking pipelines, and strict access controls that allow your organization to innovate safely.

Core Capabilities

PII Redaction & Data Masking Pipelines

Automated middleware that strips sensitive personal identifiers (credit card numbers, social security IDs, medical records) before queries reach language models.

Enterprise Role-Based Access Control (RBAC)

Enforce granular permission matching so AI models never surface confidential files to unauthorized users.

Compliance Mapping (GDPR / HIPAA / EU AI Act)

Audit AI use cases against global compliance standards, risk tiers, and data sovereignty requirements.

Prompt Injection & Adversarial Defense

Harden AI chatbots and public-facing agents against jailbreaks, system prompt extractions, and malicious inputs.

150%

Reduction in Manual Workload

60%

Faster Decision-Making

Improved Workflow Efficiency

40%

Task Automation Rate

Get a Free Demo, Audit & Leads ›

Technical Specifications

No Component Security Standard

01 Data Encryption AES-256 at rest, TLS 1.3 in transit

02 API Agreements Zero Data Retention (ZDR) enterprise endpoints

03 Redaction Tooling Microsoft Presidio, Custom Spacy PII Regex filters

04 Identity Management OAuth2, SAML 2.0, Okta, Azure Active Directory

Implementation Process

A 4-week path from corpus ingestion to production API deployment.

WEEK 1 01

Data Ingestion Flow

Audit active AI tools, data ingestion flows, and regulatory compliance requirements.

WEEKS 2 02

Masking & Routing

Configure automated PII masking layers and private VPC routing.

WEEK 3 03

Evaluation

Implement RBAC permission filters on knowledge retrieval pipelines.

WEEK 4 04

Production API Deployment

Conduct adversarial red-team penetration tests and deliver compliance audit logs.

01 WEEK 1

Data Ingestion Flow

Audit active AI tools, data ingestion flows, and regulatory compliance requirements.

02 WEEKS 2

Masking & Routing

Configure automated PII masking layers and private VPC routing.

03 WEEK 3

Evaluation

Implement RBAC permission filters on knowledge retrieval pipelines.

04 WEEK 4

Production API Deployment

Conduct adversarial red-team penetration tests and deliver compliance audit logs.

Your Success Story Starts Here
Let’s Begin!

Frequently Asked Questions

Got questions? We've answered the most common ones about working with RixDigi — from services to timelines to support.

We provide detailed data-flow maps demonstrating that user queries are processed in memory without persistent logging, and that sensitive records can be purged upon request under "Right to Be Forgotten" regulations.