Data privacy compliance for software and AI development
Generate high-quality de-identified data that ensures privacy and utility for software testing and model training to achieve regulatory compliance across your organization without slowing down innovation.
Achieve compliance and enable your developers
Privacy guarantees
Detect and de-identify PII throughout structured and unstructured data, applying regulatory-specific data transformations to ensure compliance and eliminate risk in development workflows.
Global enablement
Generate realistic data that is safe to share across borders to maximize off-shore resources while meeting the de-identification requirements of international regulations.
Accelerated development
Streamline data governance to eliminate costly bottlenecks, and optimize data readiness to enable shift-left testing and AI innovation.
The data privacy compliance solutions for software and AI engineers
Realistic data masking that preserves privacy and utility
Apply granular data de-identification techniques that securely remove PII from your structured and unstructured data without damaging the data’s utility for software testing or model training.
Multilingual Named Entity Recognition (NER) models
Automatically identify dozens of sensitive entity types in free-text data across your data stores with proprietary, best-in-class multilingual machine learning models for NER.
Compliant data de-identification for global regulations
Leverage targeted data generators and Expert Determination to achieve compliance with global data privacy regulations, including GDPR, CCPA, PCI, and HIPAA.
Built-in data governance tools for visibility and security
Standardize rules for data generation to enforce security policies, and access privacy reports and audit trails with customizable RBAC to monitor and validate adherence to privacy compliance throughout your data pipelines.
Resources
Learn more about data privacy compliance with Tonic.ai's in-depth technical guides and blog articles.
Preventing data breaches in AI systems
Data privacy in AI
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Data masking and artificial intelligence: Protecting data
Data privacy in AI
PII compliance checklist: How to protect private data
Data privacy in AI
Privacy by Design in generative AI: Building secure and trustworthy AI systems
Data privacy in AI
How redaction software can help government agencies comply with FOIA
Data de-identification
Inference protection for LLMs: Keeping sensitive data out of AI workflows
How to de-identify financial documents with Tonic Textual
How to maximize HEDIS scores with synthetic data
Tonic.ai helps organizations reduce compliance risk by enabling the safe use of data without exposing sensitive or regulated information. Teams can work with realistic data while maintaining strong privacy controls.
Tonic.ai supports compliance efforts related to GDPR, HIPAA, CCPA, SOC 2, PCI DSS, and internal data governance policies by minimizing the use of real personal and confidential data outside secure production environments.
Uncontrolled access to production data increases audit scope, breach risk, and regulatory exposure. Tonic.ai reduces this surface area by replacing sensitive datasets with privacy safe alternatives for non production use.
By enforcing consistent data protection policies and providing comprehensive privacy reports and audit trails, Tonic.ai helps organizations demonstrate controlled data handling practices and reduce the complexity of compliance audits.
Data privacy teams, compliance leaders, legal stakeholders, and enterprise platform teams all use Tonic.ai to balance regulatory requirements with the need for fast, data-driven execution.
Make your sensitive data usable for software and AI development.
Unblock data access, turbocharge development, and respect data privacy as a human right.