Security & Privacy Overview

Trust and security are at the core of everything we do. Learn how Syntheta protects your data with enterprise-grade security measures and privacy-preserving technologies.

Our Security Principles

Security and privacy are not features—they're the foundation of our platform.

Privacy by Design

Every component of our platform is built with privacy as the default. Differential privacy and k-anonymity are enforced at the algorithmic level.

Zero-Trust Architecture

No implicit trust is granted to any user, device, or network location. Every access request is verified, authenticated, and authorized.

Transparency

Complete visibility into our security practices, certifications, and compliance standards. No security through obscurity.

Technical Security Measures

Enterprise-grade security controls protecting your data at every layer.

End-to-End Encryption

AES-256 encryption for data at rest and TLS 1.3 for data in transit. All encryption keys are managed using industry-standard HSMs.

Secure Infrastructure

Cloud infrastructure hosted on SOC 2 Type II certified providers with automated security monitoring and threat detection.

Continuous Monitoring

24/7 security operations center with real-time threat detection, automated incident response, and comprehensive audit logging.

Access Controls

Role-based access control (RBAC), multi-factor authentication, and just-in-time access for all administrative functions.

Regular Audits

Quarterly penetration testing, annual security audits, and continuous vulnerability assessments by third-party experts.

Compliance Standards

HIPAA, GDPR, SOC 2 Type II, and ISO 27001 compliance with regular third-party audits and certifications.

Privacy-Preserving Technology

Advanced privacy technologies that ensure synthetic data maintains utility while guaranteeing privacy.

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Differential Privacy

Mathematical guarantees that individual records cannot be identified, even with auxiliary information and unlimited computational resources.

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k-Anonymity

Every synthetic record is indistinguishable from at least k-1 other records in the dataset, preventing individual identification.

Federated Learning

Generate synthetic data without centralizing raw data. Models are trained locally, only sharing encrypted parameters.

Certifications & Compliance

We maintain the highest standards of security and compliance certifications.

HIPAA Compliant

Healthcare data protection standards

GDPR Compliant

European data protection regulation

SOC 2 Type II

Security controls certification

ISO 27001

Information security management

Security Questions?

Our security team is available to answer questions about our security practices, compliance certifications, and privacy technologies.