Deployment security that scales with your business
The Deployment AI Security Lab focuses on securing and monitoring AI systems deployed across cloud platforms, from AWS and Azure to Databricks and Snowflake.
We specialise in securing the full lifecycle of AI production workloads: provisioning, configuration, orchestration, runtime and monitoring. We ensure your deployments are resilient, secure, and compliant — without compromising performance.
We understand the unique risks of deploying AI into production: cloud misconfigurations, insecure APIs, and exposure of sensitive assets. Our security-first approach gives you the confidence to scale AI safely and effectively across your organisation.
Deployment Security
From IaC (Infrastructure as Code) scanning and hardening to secure CI/CD pipelines, we ensure that your AI deployments are protected from source to runtime. We validate every part of the infrastructure and environment, making your systems secure by default.
What we do
Our team rigorously researches, tests and deploys cloud-native security tooling — including cloud posture management (CSPM), workload protection (CWPP), and configuration drift detection. We don’t just advise — we deploy, monitor, and tune these solutions for your unique AI workloads across AWS, Azure, GCP, and beyond.
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