Certifications & Standards

Branewise is committed to meeting the highest standards of regulatory compliance across all the industries we serve. Our compliance program is designed to protect our clients' data, ensure transparency, and maintain trust. We continuously monitor evolving regulations and adapt our practices to stay ahead of compliance requirements.

• SOC 2 Type II

  Independently audited controls for security, availability, processing integrity, confidentiality, and privacy.

• ISO 27001

  Certified information security management system covering all aspects of our operations.

• GDPR

  Full compliance with the EU General Data Protection Regulation, including data processing agreements and privacy impact assessments.

• CCPA

  Compliance with the California Consumer Privacy Act, supporting consumer data rights and transparency.

• HIPAA Readiness (Healthcare)

  Business Associate Agreements, PHI safeguards, audit logging, and access controls for healthcare clients.

• PCI DSS Awareness (Finance)

  Secure handling of payment-related data with encryption, tokenization, and network segmentation practices.

• FERPA (Education)

  Protection of student education records with appropriate access controls and data handling procedures.

• Annual Third-Party Audits

  Independent auditors review our controls, processes, and infrastructure annually to verify compliance.

• On-Demand Compliance Reports

  Enterprise clients can request compliance reports, SOC 2 reports, and security questionnaire responses at any time.

• Data Classification

  All data is classified by sensitivity level with appropriate handling procedures for each classification tier.

• Retention Policies

  Defined data retention schedules ensure data is kept only as long as necessary and securely disposed of thereafter.

• Right to Deletion

  We support data subject requests for deletion in compliance with GDPR, CCPA, and other applicable regulations.

• Bias Monitoring

  Continuous monitoring of AI models for bias across protected characteristics, with regular fairness audits.

• Model Transparency

  Documentation of model training data, decision-making processes, and explainability reports for all AI-powered features.

• Ethical AI Guidelines

  Internal governance framework ensuring AI development follows ethical principles, with human oversight for critical decisions.