Security & Trust
Enterprise-grade security practices and responsible AI principles. Your data security and privacy are non-negotiable.
Data handling principles
How we protect, isolate, and respect your data throughout the simulation process.
No Training on Customer Data
By default, we do not train our AI models on your proprietary data. Your GTM strategies, performance metrics, and business insights remain yours. Models are improved through opt-in programs only.
Data Isolation
Your data is logically isolated from other customers. Simulations run in dedicated environments with strict access controls. No cross-customer data leakage or sharing.
Access Control
Role-based access controls ensure only authorized team members can view or modify scenarios and simulations. Granular permissions at the project and scenario level.
Data Retention
You control data retention policies. Export your simulation data at any time. Request data deletion when projects conclude. No indefinite data storage without consent.
Security posture
Industry-standard security controls and practices to protect your data and infrastructure.
Encryption
Active- Data encrypted in transit using TLS 1.3+
- Data encrypted at rest using AES-256
- Encryption key management with industry best practices
Audit & Monitoring
Active- Comprehensive audit logs for all user actions
- Real-time security monitoring and alerting
- Regular security assessments and penetration testing
Authentication
Planned- Single Sign-On (SSO) with SAML 2.0 and OAuth 2.0
- Multi-factor authentication (MFA) enforcement
- Session management with configurable timeout policies
Infrastructure
Active- Cloud infrastructure with tier-4 data centers
- Regular automated backups with point-in-time recovery
- DDoS protection and web application firewall
Responsible AI principles
How we build and deploy AI systems that are transparent, accountable, and aligned with your values.
Transparency
AI recommendations include explanations of key factors and confidence levels. You understand why the system suggests what it does. No black box decisions.
Human Control
AI assists but doesn't decide. Strategic choices require human approval. You maintain full control over simulations, parameters, and final decisions.
Bias Mitigation
We actively test for and mitigate biases in synthetic personas and simulation outputs. Regular audits ensure fairness and accuracy across scenarios.
Accountability
Audit trails track all AI-generated outputs and recommendations. You can review model versions, input data, and decision factors at any time.
Compliance roadmap
Our path to enterprise compliance certifications and frameworks.
SOC 2 Type II
Currently undergoing SOC 2 Type II audit. Expected completion in Q2 2026.
Covers security, availability, and confidentiality trust principles.
Additional Certifications
- GDPR compliance framework
- ISO 27001 certification
- CCPA compliance
Questions about security?
We're happy to discuss our security practices and compliance roadmap in detail.
Request Security Documentation