Cloud-Native & AI Infrastructure Security

We help organizations secure their Kubernetes, cloud, and AI infrastructure — from network policy to LLM deployment governance — so you can move fast without exposing what matters.

Security-First Cloud & AI Consulting

GKE & Kubernetes Security

Network policy design, workload identity, RBAC hardening, and Cilium-based segmentation for production Kubernetes environments.

Cloud Security Architecture

IAM design, GCP security posture reviews, and secure network architecture aligned to CIS benchmarks and Zero Trust principles.

AI Infrastructure Security

Secure deployment patterns for LLM and agentic AI workloads, mapped to OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.

AI Governance & Compliance

Practical governance frameworks for organizations deploying generative AI — access controls, audit readiness, and risk assessment aligned to NIST AI RMF and the EU AI Act.

Security-First Cloud & AI Consulting

We specialize in the parts of cloud and AI adoption that get overlooked until something breaks: identity and access design, network segmentation, and the emerging governance layer around large language model deployments.

How We Work

We partner with engineering and security teams to close the gap between "it works" and "it's secure" — whether that's a Kubernetes network policy audit, a cloud IAM review, or a security assessment before your first production LLM deployment.

Let's Talk About Your Cloud & AI Security Posture

Whether you’re hardening a Kubernetes environment or preparing to deploy your first AI agent in production, we can help you do it securely from day one.