Link to Berry’s Trust Center (Repository of compliance attestations and policies)
Link to Berry Tech, Security, and Data Privacy FAQs
SOC 2 Certified
Berry undergoes a SOC 2 Type II audit annually, ensuring compliance with AICPA's Trust Service Criteria in Security, Availability, and Confidentiality. Our process includes submitting a comprehensive Risk Management strategy, highlighting our commitment to data integrity and security.
Your data in a security fortress
Customer trust means everything to us! That's why our commitment to safeguarding your data is not just a promise; it's a core principle that we live by every day. Our dedication to maintaining customer trust is unwavering, and we leave no stone unturned in ensuring the utmost security of your data, and here’s how we do it.
Uncompromising data encryption and processing Fortified data at rest: every piece of your data is securely encrypted while it's stored, ensuring it's impenetrable to unauthorized access.
Robust protection in transit: as your data travels, it's guarded by TLS encryption, compliant with the highest SOC2 standards, creating a secure pathway resistant to interception or intrusion.
Triple-layer data processing - no direct use of customer data for AI training
Our AI training comes with a privacy shield. No customer data is directly used for AI model training. Our triple-layer safeguard unfolds in three steps:
Step 1, Data Anonymization: we employ state-of-the-art technologies to meticulously remove any identifiable details, safeguarding individual and organizational privacy. Step 2, Synthetic Data Generation: we transform customer data into synthetic versions; think of this as a seasoned technical writer converting customer inquiries into generic FAQs.
Step 3, Data Approval: every data entry undergoes a thorough review by a dedicated human, ensuring absolute data sanitization before any training occurs. And then, only then, will we use the human-approved data to do model training.
Your data is yours - period
No cross-usage commitment: your data will never be utilized to train any base models that could be serving other customers - a foundational principle we firmly stand by.