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Does your company use AI? Protect your company's data from leaks
Proxy AI is an on-premises AI system with a secure gateway to the Internet. With this system, employees have access to the best language models, and sensitive data is never sent over the Internet.
AI Under Control
Risk of a data breach
Using public AI tools without implementing standards for their use and monitoring carries the risk of disclosing the company's confidential information.
Shadow AI
Scattered, private, and corporate subscriptions—purchased outside the IT department without a common standard or oversight—make it impossible to monitor AI usage and control AI costs. This approach exacerbates the risks associated with so-called “shadow AI.”.
Safe Tools
Solve this problem at its root by giving your employees a tool that users need and want to use—one that’s secure and that you can control.
Take full control of your AI usage and protect your company from data breaches
Public AI
- Company data is being sent to external services without any oversight or audit
- Decentralized AI subscriptions are purchased on an ad hoc basis, without monitoring
- Lack of logs: any content used may contain information that should not leave the company
- Non-compliance with the GDPR, KSC, NIS2, and DORA
- Lack of Control Over the Costs of Using AI
Proxy AI
- AI models run on-premises or in a dedicated Azure subscription—data is fully sovereign and remains within the company
- A single point of access to AI for the entire organization
- Comprehensive query logging and usage monitoring
- Access and permissions based on Entra ID and the RBAC model
- Token Budget with an Upper Limit and a Usage Report
A single point of access to AI for the entire organization
Full sovereignty and data isolation
AI models run on-premises or in a dedicated Azure subscription.
Monitoring and Logging
Monitoring and logging of queries, and security rules for Internet traffic.
Entra ID and RBAC
Access and permissions based on Entra ID and the RBAC model.
Token Budget
A token budget with an upper limit and a usage report.
One solution, two coverage options
Controlled Access to Public AI Models
- A complete shift of users from public AI tools to a proprietary, fully controlled system with clear security policies and RBAC (Role-Based Access Control)
- Access to public AI models can be blocked at the network level without compromising business productivity
- Collecting logs and AI usage statistics to train and calibrate detection mechanisms using Proxy AI Advanced
- A multi-layered system for detecting sensitive data using regex, NER, Presidio, semantic embeddings, and LLM
- Enforcement of ALLOW/BLOCK/SANITIZE decisions regarding access policies at the Policy Decision Point (PDP) and Policy Enforcement Point (PEP)
A supervised AI system with access to the company's knowledge
- A supervised AI system with access to the organization's knowledge, running on on-premises infrastructure and dedicated NVIDIA DGX Spark hardware
- Access to documents and company resources (including SharePoint, CRM, intranet, and email) via an internal RAG (Retrieval Augmented Generation) system to ensure the proper context for handling queries in 6 operating modes: ranging from simple queries to autonomous AI agents
- Dynamic attribute-based access control (ABAC), session-level risk analysis, and auditing and integration with SIEM/SOC
Before and After the Implementation of Proxy AI
- › The risk of a leak of the company’s confidential information due to the uncontrolled use of publicly available AI systems
- › Lack of cost control and monitoring regarding the use of AI
- › Controlled access to publicly available AI systems through authorized network traffic to AI tools in an isolated cloud or on-premises environment
- › User-friendly UX and access to the best AI models on the market, such as GPT-5.x and Claude 4.x
- › Custom permission set in the ABAC and RBAC models
- › Secure queries to local data - internal search
- › Secure Data Queries on the Internet - External Search
- › Deep research - local search supplemented with information from the Internet
Why Is It Important to Regulate AI?
14-Day PoC - Try Proxy AI in Your Environment
Phase 1: Analysis and Design
- › Analysis of Needs and User Groups
- › Azure Isolated Subscription Project
- › Selection of models and safety rules
- › Project Schedule and Organization
Phase 2: Development and Implementation
- › Dedicated, secure Azure infrastructure
- › A web interface similar to ChatGPT
- › Entra ID authentication, RBAC permissions
- › Logging and Monitoring Queries
Phase 3: Adoption and Support
- › Post-implementation training for employees
- › Phased implementation of subsequent groups
- › Technical Support and Consultation Hours Allotment
- › Weekly Token Usage Reports
Result
- Complete data isolation
- A user interface similar to public LLM models
- Quickly create AI assistants with specific instructions and grant access to selected user groups
Summary - Why Proxy AI?
- Data sovereignty and complete protection against uncontrolled leaks of company data
- All requests pass through a gateway running on our own infrastructure, which includes logs and filtering rules
- Transparency and Control Over the Use of AI
- The best AI models in a familiar interface
Frequent questions and answers
What AI models are available on Proxy AI?
Where is Proxy AI being implemented?
Is a cloud-based Proxy AI secure?
How is Microsoft Copilot different from Proxy AI?
Proxy AI guarantees full, sovereign control over how data is processed and can be used to process sensitive data. Proxy AI allows all AI traffic to be routed at the network level, ensuring a high level of security.
Microsoft Copilot is provided and managed by Microsoft and is a useful tool for supporting users' daily tasks. Copilot is suitable for working with data of low and medium sensitivity.
How is user access management implemented?
What are the benefits of centralizing access to AI?
How does the solution help control AI costs?
How does Proxy AI support the implementation of the Zero Trust principle?
Take full control and protect your company against data breaches
Data Sovereignty
AI models run in a dedicated Azure subscription or in an on-premises environment—data never leaves the organization's infrastructure.
Regulatory Compliance
Comprehensive logging, auditing, and integration with SIEM/SOC support the requirements of GDPR, NIS2, DORA, and KSC.
Cost and Risk Control
A token budget with a limit and a usage report, along with access based on Entra ID and the RBAC/ABAC model, eliminate uncontrolled spending and shadow AI.
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