PVML is a platform for secure access to and AI-driven analysis of sensitive data. It helps organizations work with restricted datasets in real time while reducing the risk of data leakage. The platform combines AI capabilities with information security methods, including differential privacy, so more employees can use data without lowering security standards.
How PVML works
A typical workflow includes:
Register an account
Connect and configure data sources
Choose security and privacy parameters
Integrate PVML with your corporate AI systems
Run analysis and generate reports
Key capabilities
Real-time analysis of closed/restricted data
Built-in differential privacy for protecting sensitive information
Designed for fast rollout and scaling in large organizations
Single environment for analytics plus security compliance needs
Implementation notes
PVML requires integration with enterprise AI systems to operate. Advanced functionality may require additional training. The platform is positioned against solutions like Snowflake and Databricks, with a focus on differential privacy and real-time work with restricted data. Training materials are available on the official website.
