What is Zendata?
Zendata offers a comprehensive platform designed to unify AI governance and data privacy management for B2C organizations. It addresses the complexities introduced by AI adoption and evolving data privacy regulations, enabling businesses to transform fragmented data practices into a strategic advantage. The platform focuses on providing transparency in AI decision-making and ensuring consistent, compliant data handling across the entire organization, from customer-facing applications to backend systems and development workflows.
Featuring a no-code, user-friendly interface, Zendata facilitates quick implementation without requiring extensive technical expertise. It employs automation to reduce manual privacy tasks, such as Personally Identifiable Information (PII) discovery and protection. The tool scans websites, codebases, devices, and databases to identify and mitigate potential privacy risks before deployment and during operation. Zendata aims to help organizations build trust, drive innovation, and maintain compliance with standards like GDPR and HIPAA through actionable insights derived from complex data.
Features
- AI Governance: Bridge the gap between AI innovation and data privacy risk management.
- Privacy Mapper: Automate PII discovery and protection across data sources.
- Code Scanner: Eliminate privacy risks in codebases before deployment.
- Website Scanner: Reduce compliance risks in customer-facing web assets.
- No-Code Interface: User-friendly platform requiring no extensive technical expertise.
- Time-Saving Automation: Reduce manual privacy tasks and accelerate compliance.
- Seamless Integration: Connect various data sources to eliminate blind spots.
- PII Classification API: Identify and classify Personally Identifiable Information within text.
- ML-Powered Remediation Guidance: Provides guidance based on machine learning insights.
- Compliance Support: Assists with adherence to GDPR, HIPAA, and SOC 2 standards.
Use Cases
- Managing data privacy risks in AI adoption.
- Automating PII discovery and data mapping.
- Ensuring data privacy compliance (GDPR, HIPAA, SOC 2).
- Scanning codebases for privacy vulnerabilities during development (SDLC).
- Auditing websites and public applications for data collection compliance.
- Integrating data privacy controls across various organizational data sources.
- Improving transparency in AI model decision-making processes.
- Streamlining data protection and risk management workflows.
