Data Protection Policy
Last Updated: March 2026
1. Overview
Pygentech is committed to protecting the confidentiality, integrity, and responsible handling of data processed within its intelligence infrastructure systems.
This Data Protection Policy outlines the principles and practices governing how Pygentech collects, processes, stores, and safeguards information within its platforms, including Sentradar and associated intelligence systems.
Pygentech designs its systems to support institutional clients while maintaining strong safeguards around data access, handling, and retention.
2. Categories of Data Processed
Pygentech systems primarily process **public narrative signals and institutional configuration data**.
Public Information Signals
Publicly available discourse and narrative signals collected for intelligence analysis, including:
- media articles
- publicly available social media posts
- public commentary
- publicly available discussion forums
- publicly available policy communications
Pygentech does not access private accounts or restricted channels.
Institutional Configuration
Institutional clients configure systems using data such as:
- monitored keywords
- monitored organizations or sectors
- alert thresholds
- reporting preferences
- integration endpoints
This data is provided voluntarily by the client organization.
3. Purpose of Data Processing
Pygentech processes information solely for the purpose of delivering intelligence infrastructure services. These include:
- monitoring narrative environments
- identifying sentiment shifts
- detecting emerging narrative risk signals
- generating intelligence reports and alerts
- supporting institutional decision-making processes
Data is not sold or repurposed for unrelated commercial activities.
4. Data Isolation and Tenant Separation
Pygentech platforms are designed with **tenant-level isolation** to ensure that data belonging to one organization cannot be accessed by another.
- tenant-scoped data architecture
- access controls restricting visibility by organization
- logical isolation of client configurations and intelligence outputs
Each institutional environment operates independently within the broader system infrastructure.
5. Data Security Measures
Pygentech applies a range of technical and operational safeguards designed to protect system integrity.
- encrypted data transmission using HTTPS/TLS
- authentication and access control systems
- monitoring for abnormal access patterns
- controlled access to production systems
- audit logging for sensitive system activities
Additional details are available in the Security Overview.
6. Data Retention
Pygentech retains operational data only for the duration necessary to provide intelligence services and maintain system integrity.
Retention periods vary based on client configuration, reporting needs, and system performance evaluation. Clients may request adjustments to retention practices where feasible.
7. Third-Party Services
Pygentech may use reputable infrastructure and analytics providers to support platform functionality (hosting, monitoring, performance).
Providers are selected based on reliability and security practices consistent with Pygentech's standards.
8. Responsible Use
Pygentech designs its systems to analyze **public narrative environments**, not to monitor private individuals. Clients are expected to use outputs responsibly and in accordance with applicable laws.
9. Client Responsibilities
Institutional clients remain responsible for managing internal access, safeguarding exported reports, and ensuring appropriate governance around intelligence-based transitions.
10. Contact
For questions regarding data handling practices, contact:
privacy@pygentech.co.zw