AI Clowd

Intelligent cloud-native AI

Secure cloud-native AI

Ship AI safely on your terms

AI Clowd is built as a secure, cloud-native platform with layered controls for data, models, and access, so you can adopt AI without compromising your security posture.

Encrypt sensitive data, enforce least-privilege access, and keep full audit trails across your AI workloads. Our architecture is designed to plug into your existing security stack instead of bypassing it.

Security pillars of AI Clowd

We follow cloud-native and AI security best practices to protect data, workloads, and access at every layer of the stack, from ingress to model outputs.

Encryption by default Strong identity & access control Secure software supply chain

01 · Data security

Encrypt everywhere

Data in transit is protected with TLS and modern ciphers, while data at rest is encrypted with managed keys and regular key rotation.

  • Encryption for storage and backups.
  • Segregated environments for sensitive workloads.
  • Support for regional data residency needs.

02 · Access control

Zero trust-inspired access

Identities (users, services, and APIs) are granted only the minimum access they need, backed by short-lived credentials and continuous monitoring.

  • Role-based access control for projects and APIs.
  • API keys and service accounts with scoped permissions.
  • Audit logs for requests and admin actions.

03 · Workload security

Hardened AI workloads

AI workloads run on hardened, containerized infrastructure with guardrails against common threats to models, data, and runtime environments.

  • Container and image scanning in the build pipeline.
  • Runtime monitoring for anomalous behavior.
  • Controls against data exposure and model abuse.

Shared responsibility for AI security

Securing AI workloads is a shared responsibility between AI Clowd and your team. We secure the platform and primitives; you bring identity, data governance, and internal policies on top.

What AI Clowd covers

  • Platform hardening and infrastructure security.
  • Encryption, isolation, and secure defaults.
  • Monitoring and alerting on suspicious activity.

What your team controls

  • Identity integration (SSO, SAML, IdP policies).
  • Data classification and governance decisions.
  • Internal processes for access reviews and audits.

How we help you adopt

  • Guides for secure AI workload patterns.
  • Best practices for compliant deployments.
  • Sample reference architectures for your stack.
© AI Clowd.