Privacy Accelerators
Get Your Data AI Ready
Data Quality Insights
Howso Insights enables data engineers and scientists to assess the health and readiness of their datasets before investing in modeling or pipeline development. It evaluates the strength of the data signal, reveals key relationships and dependencies, and flags missing information or anomalous patterns. By surfacing these insights early, Howso helps teams determine whether their data is sufficient for analysis, or if improvements or additional data collection are needed to ensure insightful results.
Key Capabilities
- Data signal and quality detection
- Missing data detection
- Causal discovery
- Anomaly detection
Interfaces
- Python API
- BI dashboard integration
- Natural language agentic workflows
Privacy-Preserving Synthetic Data Generator
Howso Synthesizer generates private synthetic datasets derived from customer data that preserve the statistical structure and utility of the original dataset while protecting personally identifiable information (PII). Using privacy-enhancing techniques, including differential privacy, Synthesizer ensures rigorous data protection while enabling high-utility, privacy-preserving use cases including advanced analytics, ML/AI model training, cross-border data sharing, application development, and regulatory compliance.
Key Capabilities
- Synthetic data generation with preserved statistical fidelity
- Flexible synthesis toolkit, to create desired synthetic data
- Removal/obfuscation of PII
- Native integration with Howso Validator for privacy and utility audits
Interfaces
- Python API that is easy to integrated within data pipelines, agentic workflows
- Connectors for enterprise data sources (file systems, databases, data catalogs)
Data Privacy and Utility Validation
Howso Validator evaluates the privacy and utility of synthetic datasets generated by the Howso Synthesizer or 3rd party synthesis tools. Validator provides a rigorous, auditable framework for assessing data quality, producing explainable results and validation reports that align to business requirements.
Key Capabilities
- Privacy assessment via proprietary anonymity preservation test (distance ratio metric)
- Utility assessment through descriptive statistics, time-series accuracy, and predictive model accuracy checks
- Desirability score summarizing overall utility based on business needs
- Auditable validation reports fully explainable
Interfaces
- Connectors for enterprise data sources (file systems, databases, data catalogs)
- Automated report generation for compliance, audit, and reproducibility
Data Lineage & Ownership Protection
Howso Watermarker enables data governance teams to embed digital fingerprints into structured datasets for full lineage, traceability, and ownership tracking without altering schema, size, privacy or analytical utility. Purpose-built for structured data, Watermarker supports compliance, governance, and accountability in high-trust environments.
Key Capabilities
- Embeds tamper-resistant digital fingerprints throughout datasets
- Maintains data structure, size, and analytical utility
- Built-in detection tools to verify authenticity and ownership
Interfaces
- Python API access for embedding and detection workflows
- Easily integrates into structured data governance pipelines