Your Trust Is Our Foundation
Enterprise-grade security, comprehensive compliance, and transparent practices that protect your data and your business
Security at Every Layer
Defense in depth with multiple security controls protecting your data
Encryption
End-to-end encryption for data at rest and in transit
- AES-256 encryption at rest
- TLS 1.3 for data in transit
- Hardware security module (HSM) key management
- Client-side encryption options
Identity & Access
Enterprise-grade authentication and authorization
- SAML 2.0 and OAuth 2.0 support
- Multi-factor authentication (MFA)
- Role-based access control (RBAC)
- Single Sign-On (SSO) integration
- API key management
Audit & Monitoring
Comprehensive logging and real-time monitoring
- Immutable audit logs
- Real-time threat detection
- Activity monitoring dashboard
- Compliance reporting
- SIEM integration
Data Protection
Your data remains yours, always
- Data isolation and segmentation
- Automated backups with encryption
- Point-in-time recovery
- Data retention policies
- Right to deletion (GDPR Article 17)
Network Security
Defense in depth with multiple security layers
- Web Application Firewall (WAF)
- DDoS protection
- Private network isolation
- Zero-trust architecture
- Regular penetration testing
DevSecOps
Security built into every stage of development
- Automated security scanning
- Container vulnerability scanning
- Dependency management
- Security-first CI/CD pipelines
- Code signing and verification
Security & Compliance Practices
Following industry best practices for security and compliance
Enterprise Security
Security-first development approach
GDPR Practices
EU Data Protection best practices
Security by Design
Built-in security architecture
Data Privacy
Client data protection policies
Global Infrastructure & Data Residency
Choose where your data lives with compliant infrastructure worldwide
Select a region to view details
Responsible AI Principles
Our commitment to ethical, transparent, and trustworthy AI
Transparency
Clear documentation of AI capabilities, limitations, and decision processes
Fairness
Regular bias testing and mitigation strategies across all models
Privacy
Data minimization and purpose limitation in AI training and inference
Accountability
Human oversight and clear responsibility chains for AI decisions
Safety
Comprehensive testing, red-teaming, and guardrails for all AI systems
Sustainability
Optimized models and green computing practices to minimize environmental impact
Availability & Performance
Real-Time Status
Security Vulnerability Disclosure
Found a security issue? We appreciate responsible disclosure and offer rewards for valid vulnerabilities.