CLAUDIA
Security Center
Security Center
Here you will find an overview of the security measures implemented to protect and ensure compliance of our customers' data. Any additional request can be made via the email legal@cloudhumans.com.
legal@cloudhumans.com
The fastest growing companies scale customer service with Cloud Humans:
Overview
Infrastructure
Internal policies
Stack
Controls
Models
Advanced language models
ClaudIA combines different foundation models — such as GPT-4.1, GPT-4o, Whisper, and fine-tuned versions like 4o-mini — to form the basis of its intelligence in customer service. These models, recognized for their ability to understand and generate human-quality text, are adapted to the specific content, contexts, and integrations of each company, ensuring accurate, personalized responses that align with the business's tone of voice.
Use
Intelligence for customer support
ClaudIA is an AI-based customer service agent that talks like a human to answer the most common customer service inquiries. Our AI agent finds relevant information in the content database customized by each company to provide an answer. Additionally, it is possible to connect the intelligence to any database or system via API for customizing the visualization and editing of information.
Research publicly available support policies of companies.
Research customized support policies privately by each company
Optional: consult and edit information in customized databases for each company
Training
We only collect data from users that they entered themselves with our AI agent. Examples of the most common questions and data exchanged:
Question about products and features
Questions and inquiries about pricing
Commercial inquiries
Contacts: email and phone
Sensitive or protected data (health, political opinions, etc.)
Protected characteristics (race, gender, etc.)
Biometric data
Inference
During the inference, Cloud Humans uses the following data to generate recommendations and insights, ensuring privacy and compliance:
User search queries
Profile data (without personally identifiable information - PII)
Input commands to generate personalized messages
Personally identifiable information (PII)
Sensitive personal data
AI Data Governance
Data source for AI models
Compliance with data sharing for LLM-based models
Customer data deletion from model training
Testing and Monitoring of AI Models
Guarantee of the effectiveness and validity of the model
Continuous monitoring of model performance
Event record collection for models
Enhancement of the explainability of models
AI Cybersecurity
Implementation of protection mechanisms against malicious prompts
Protection against training data poisoning
Application of exclusive access control and authentication
Supervision of AI systems operations
Third-party AI tools and audits
Guarantee of the effectiveness and validity of the model
Continuous monitoring of model performance
Event log collection for models
Overview
Infrastructure
Internal policies
Stack
Controls
Models
Advanced language models
ClaudIA combines different foundation models — such as GPT-4.1, GPT-4o, Whisper, and fine-tuned versions like 4o-mini — to form the basis of its intelligence in customer service. These models, recognized for their ability to understand and generate human-quality text, are adapted to the specific content, contexts, and integrations of each company, ensuring accurate, personalized responses that align with the business's tone of voice.
Use
Intelligence for customer support
ClaudIA is an AI-based customer service agent that talks like a human to answer the most common customer service inquiries. Our AI agent finds relevant information in the content database customized by each company to provide an answer. Additionally, it is possible to connect the intelligence to any database or system via API for customizing the visualization and editing of information.
Research publicly available support policies of companies.
Research customized support policies privately by each company
Optional: consult and edit information in customized databases for each company
Training
We only collect data from users that they entered themselves with our AI agent. Examples of the most common questions and data exchanged:
Question about products and features
Questions and inquiries about pricing
Commercial inquiries
Contacts: email and phone
Sensitive or protected data (health, political opinions, etc.)
Protected characteristics (race, gender, etc.)
Biometric data
Inference
During the inference, Cloud Humans uses the following data to generate recommendations and insights, ensuring privacy and compliance:
User search queries
Profile data (without personally identifiable information - PII)
Input commands to generate personalized messages
Personally identifiable information (PII)
Sensitive personal data
AI Data Governance
Data source for AI models
Compliance with data sharing for LLM-based models
Customer data deletion from model training
Testing and Monitoring of AI Models
Guarantee of the effectiveness and validity of the model
Continuous monitoring of model performance
Event record collection for models
Enhancement of the explainability of models
AI Cybersecurity
Implementation of protection mechanisms against malicious prompts
Protection against training data poisoning
Application of exclusive access control and authentication
Supervision of AI systems operations
Third-party AI tools and audits
Guarantee of the effectiveness and validity of the model
Continuous monitoring of model performance
Event log collection for models