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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.

Security Questions?

For security inquiries or to report vulnerabilities:

[email protected]