Security
Security-first architecture with AES-256 encryption, TLS 1.3 in transit, and enterprise-grade access controls built for regulated industries.
Last Updated: July 2026
GDPR
Architecture-Ready
DPDPA 2023
Architecture-Ready
EU AI Act
Architecture-Ready
NIST AI RMF
Architecture-Ready
SOC 2
Planned
ISO 27001
Planned
ISO 42001
Planned
PCI DSS
Planned
Data Encryption
Encryption at Rest
AES-256 encryption for all stored data, including databases, file storage, and backups.
Encryption in Transit
TLS 1.3 enforced on all connections. No unencrypted HTTP traffic permitted in production.
Authentication & Access Control
Our platforms are designed with the following authentication and access controls:
OAuth 2.0 and OpenID Connect (OIDC)
Multi-factor authentication (MFA) — TOTP, WebAuthn, and hardware keys
Role-based access control (RBAC) with least-privilege enforcement
JWT with short-lived access tokens and refresh token rotation
Audit logging of all authentication events
Designed for enterprise SSO — Single Sign-On via SAML 2.0
Infrastructure Security
- Cloud infrastructure with enterprise-grade security controls
- Network segmentation and private VPC architecture
- DDoS protection and rate limiting at the edge
- Automated vulnerability scanning and patch management
- Redundant infrastructure and automated failover, engineered for high availability
- Automated backups with 30-day retention and point-in-time recovery
- Continuous uptime monitoring and anomaly detection
Application Security
OWASP Top 10 mitigations applied across all services
Input validation and output sanitization on all API endpoints
Dependency audit pipeline with automated CVE scanning
Penetration testing planned as we scale to production
Secure development lifecycle (SDLC) with security review gates
Responsible disclosure policy — report vulnerabilities to our security team
AI Security
CloudServe Digital enterprise services incorporate AI capabilities with dedicated security controls for LLM interactions, prompt integrity, and model output governance.
All user input validated and sanitized before any LLM API call — no raw pass-through
Prompt injection defenses on all AI-powered features — structured prompting with adversarial input filtering
Model output validated against expected schema and sanitized before delivery to enterprise clients
AI audit logging: every LLM call logged with model ID, tenant context, request hash, and timestamp
System prompts treated as secrets — never echoed or exposed in API responses or logs
Rate limiting on all AI inference endpoints — per-tenant and per-user quotas enforced at the API gateway
Data Residency & Sovereignty
United States
Primary
EU Region
Planned
India Region
Planned
Enterprise Security Controls
- Dedicated tenant isolation — your data is never co-mingled with other tenants
- Customer-managed encryption keys (CMEK) — planned for enterprise tier
- Data export and deletion on demand (GDPR Article 17, DPDPA)
- Security incident notification within 72 hours
- Annual security review and third-party assessments planned
Security Practices
- Separation of production, staging, and development environments
- Principle of least privilege for all internal access
- Mandatory security training for all engineers
- Dependency updates reviewed and applied on a regular cycle
- Security considerations built into code review and CI pipeline
- No production access without approval and audit trail
Responsible Disclosure
If you discover a security vulnerability in CloudServe Digital, please report it to [email protected]. We respond within 72 hours and follow coordinated disclosure practices.
We do not pursue legal action against researchers who act in good faith and follow this disclosure process.