Security
- Executive Summary
- Working Knowledge
ReGenesis processes deeply personal coaching data — session transcripts, emotional patterns, developmental goals — for Fortune 500 executives. The security architecture reflects the sensitivity of this data with defense-in-depth controls that meet or exceed enterprise expectations.
Design principle: Build to EU-grade security standards from day one. Every layer — infrastructure, application, AI engine, and API — is designed with zero-trust principles, encryption everywhere, and continuous monitoring.
Key Security Commitments
| Domain | What ReGenesis Delivers |
|---|---|
| Infrastructure | AWS VPC isolation, private subnets, WAF, DDoS protection |
| Encryption | AES-256 at rest, TLS 1.3 in transit, KMS-managed keys |
| Application | Input validation, output encoding, OWASP Top 10 coverage |
| AI Engine | Prompt injection defenses, output validation, safety guardrails |
| Monitoring | 24/7 anomaly detection, tamper-evident logging, incident response |
| Recovery | Multi-AZ deployment, automated backups, tested disaster recovery |
How Security Is Organized
Security controls span the entire platform. This section covers the technical security architecture — how the platform protects infrastructure, application, and AI engine layers.
Quick Reference
| Topic | What It Covers | Context |
|---|---|---|
| Infrastructure Security | VPC, network segmentation, WAF, hardening | Platform architecture decisions |
| Encryption & KMS | Data protection at rest and in transit, key management | Data storage decisions |
| Disaster Recovery | BCP, backups, RPO/RTO, failover | Resilience planning |
| Monitoring & Alerting | SIEM, APM, anomaly detection, on-call | Incident response, observability |
| DevSecOps | Secure SDLC, SAST, dependency scanning, SBOM | Every code change |
| Integration Security | OAuth, webhooks, third-party APIs | Integration work |
| Mobile Security | App hardening, MDM, biometrics | Mobile development |
| Tech Stack | Languages, frameworks, infrastructure, costs | Architecture decisions |
| API Design | Endpoints, schemas, error handling, rate limiting | Backend development |
| Sasha AI Engine | Prompt design, LLM integration, safety guardrails | AI feature development |
| Sasha Live | Real-time intelligence, browser extension, crisis escalation | Live session features |