Understanding data privacy in Prisme.ai and how your information is protected
Prisme.ai is committed to protecting the privacy and security of your data. This page outlines our approach to data privacy, the measures we take to safeguard information, and the controls available to customers to manage their data effectively.
Your data remains yours. Prisme.ai acts as a processor, not an owner of your information.
Clear policies about what data is collected, how it’s used, and who can access it.
Privacy protection is built into our platform architecture, not added as an afterthought.
Our practices align with major privacy regulations like GDPR, CCPA, and other regional standards.
Prisme.ai collects and processes different types of data to provide our services:
Information about users of the platform including:
Information about users of the platform including:
Information you create or upload to the platform including:
Technical information required for operations:
Prisme.ai processes your data in the following ways:
Data processing activities are governed by our Terms of Service and Data Processing Agreement (DPA) available to enterprise customers.
Prisme.ai implements robust data segregation to ensure information from different customers remains separate and secure:
For enterprise deployments, dedicated infrastructure options are available for enhanced isolation.
Prisme.ai offers options to maintain data within specific geographical regions to comply with local regulations:
Regional Deployments
Choose where your Prisme.ai instance is hosted based on your compliance requirements
Data Storage Controls
Configure where your data is stored and processed
Processing Boundaries
Set boundaries for where data processing can occur
When using AI and machine learning features in Prisme.ai, additional privacy considerations apply:
Prisme.ai’s approach to AI privacy focuses on keeping you in control of how your data is used with AI models. We provide transparency about when information is sent to external AI services and offer options for using local models when data must remain within your environment.
How LLMs Use Your Data
When you use large language models (LLMs) within Prisme.ai, your data may be processed by these models to generate responses. This might include:
The extent of data sharing depends on whether you’re using Prisme.ai’s built-in models, your own deployed models, or third-party AI services.
External AI Service Privacy
When using external AI services (such as OpenAI’s GPT models, Azure OpenAI, Anthropic’s Claude, etc.):
Enterprise customers can configure which external services are permitted and which are restricted based on their compliance requirements.
On-Premises AI Options
For organizations with stricter data privacy requirements, Prisme.ai offers:
These options ensure that data never leaves your environment while still leveraging AI capabilities.
Prisme.ai provides administrators with robust controls to manage data privacy:
Prisme.ai follows data minimization principles, collecting only what’s necessary to provide our services:
Our commitment to privacy by design means privacy considerations are integrated throughout our development process:
Requirements Analysis
Privacy requirements are identified at the earliest stages of product development
Design Phase
Privacy-enhancing technologies and architectures are incorporated into designs
Development
Privacy controls are implemented and tested during development
Testing
Privacy features undergo rigorous testing, including penetration testing
Deployment
Privacy settings are configured with secure defaults
Monitoring
Ongoing monitoring ensures privacy controls remain effective
Our detailed privacy policy covering all aspects of data privacy
Our DPA for enterprise customers requiring GDPR compliance. Ask your Customer Success Manager.
Information about our compliance certifications and standards
How to configure Single Sign-On for enhanced security
For specific inquiries about data privacy or to request more information:
Understanding data privacy in Prisme.ai and how your information is protected
Prisme.ai is committed to protecting the privacy and security of your data. This page outlines our approach to data privacy, the measures we take to safeguard information, and the controls available to customers to manage their data effectively.
Your data remains yours. Prisme.ai acts as a processor, not an owner of your information.
Clear policies about what data is collected, how it’s used, and who can access it.
Privacy protection is built into our platform architecture, not added as an afterthought.
Our practices align with major privacy regulations like GDPR, CCPA, and other regional standards.
Prisme.ai collects and processes different types of data to provide our services:
Information about users of the platform including:
Information about users of the platform including:
Information you create or upload to the platform including:
Technical information required for operations:
Prisme.ai processes your data in the following ways:
Data processing activities are governed by our Terms of Service and Data Processing Agreement (DPA) available to enterprise customers.
Prisme.ai implements robust data segregation to ensure information from different customers remains separate and secure:
For enterprise deployments, dedicated infrastructure options are available for enhanced isolation.
Prisme.ai offers options to maintain data within specific geographical regions to comply with local regulations:
Regional Deployments
Choose where your Prisme.ai instance is hosted based on your compliance requirements
Data Storage Controls
Configure where your data is stored and processed
Processing Boundaries
Set boundaries for where data processing can occur
When using AI and machine learning features in Prisme.ai, additional privacy considerations apply:
Prisme.ai’s approach to AI privacy focuses on keeping you in control of how your data is used with AI models. We provide transparency about when information is sent to external AI services and offer options for using local models when data must remain within your environment.
How LLMs Use Your Data
When you use large language models (LLMs) within Prisme.ai, your data may be processed by these models to generate responses. This might include:
The extent of data sharing depends on whether you’re using Prisme.ai’s built-in models, your own deployed models, or third-party AI services.
External AI Service Privacy
When using external AI services (such as OpenAI’s GPT models, Azure OpenAI, Anthropic’s Claude, etc.):
Enterprise customers can configure which external services are permitted and which are restricted based on their compliance requirements.
On-Premises AI Options
For organizations with stricter data privacy requirements, Prisme.ai offers:
These options ensure that data never leaves your environment while still leveraging AI capabilities.
Prisme.ai provides administrators with robust controls to manage data privacy:
Prisme.ai follows data minimization principles, collecting only what’s necessary to provide our services:
Our commitment to privacy by design means privacy considerations are integrated throughout our development process:
Requirements Analysis
Privacy requirements are identified at the earliest stages of product development
Design Phase
Privacy-enhancing technologies and architectures are incorporated into designs
Development
Privacy controls are implemented and tested during development
Testing
Privacy features undergo rigorous testing, including penetration testing
Deployment
Privacy settings are configured with secure defaults
Monitoring
Ongoing monitoring ensures privacy controls remain effective
Our detailed privacy policy covering all aspects of data privacy
Our DPA for enterprise customers requiring GDPR compliance. Ask your Customer Success Manager.
Information about our compliance certifications and standards
How to configure Single Sign-On for enhanced security
For specific inquiries about data privacy or to request more information: