The problem isn't AI. It's the data you send to it.
Sensitive information, customer data, and company know-how often reach AI models without proper control, protection, or security policies.
Sensitive data leaves your control
Personal data, company information, and intellectual property can reach external AI models without proper protection, creating legal, business, and security risk.
Regulation limits how freely you can use AI
GDPR, the AI Act, and internal security policies set strict rules for processing data. Without the right safeguards, using public AI models can create compliance and audit risk.
No control leads to Shadow AI
Without shared rules, employees start using AI on their own. Processes diverge, data flows go untracked, and organizational risk grows.
Fundamentals of using AI safely
Data stays under control
Regulatory compliance
Controlled AI use
One set of rules across the organization
Your data is protected before it reaches AI
AI Security Gateway sits between your organization and AI models — it controls data, protects sensitive information, and enforces security policies before a request is sent.
Organization data
EHR · ERP · CRM · Documents
AI Security Gateway
Pseudonymization
Policy control
Data protection
Protected values do not reach the model in their original form
AI model
OpenAI · Anthropic · Gemini
AI response
AI Security Gateway
Controlled restoration
Response control
Safe result
How AISG protects data in four steps
Data reaches AISG
Documents, data from company systems, and user queries first reach AI Security Gateway, where they are prepared for secure processing.
- Documents and text
- Company systems
- API integrations
- User queries
Data and context analysis
AISG analyzes content and its context to detect personal data, sensitive information, and other elements that require protection under the organization's policies.
- Personal data detection
- Context analysis
- Information classification
- Policy enforcement
Pseudonymization and tokenization
Data that requires protection is replaced with pseudonymization tokens. Their link to the source values is stored separately in AISG's protected environment.
The AI model receives content that keeps its context, but without the protected data in its original form.
- Pseudonymization tokens
- Context preserved
- Separate mapping
- Controlled storage
AI model
Protected values do not reach the model in their original form
Controlled data restoration
After receiving the AI model's response, AISG can replace tokens with the corresponding source values. The operation takes place in a controlled environment and according to the user's permissions.
- Data restoration
- Permission control
- Operation logging
- Audit trail
Secure AI for regulated industries
AI Security Gateway helps organizations in regulated sectors use AI models safely while keeping control of data, policies, and compliance.
Financial services
Banks, fintechs, and insurers process customer data, financial information, and highly confidential documents. AISG helps them use AI safely in analysis, customer service, and process automation.
Healthcare
Hospitals, clinics, and other medical institutions can use AI for documentation, data analysis, and administrative processes while protecting patient data.
Public administration
Public institutions process citizen data and highly confidential information. AISG enables controlled use of AI without losing oversight of data flows.
Legal and compliance
Law firms and compliance teams work with contracts, client documents, and confidential information. AISG lets them use AI without sending unprotected data to external models.
Also for manufacturing, insurance, research, HR, and other organizations that work with sensitive data.