Four practices. One engineering discipline.

Cloud Penetration Testing

We attack your AWS and Google Cloud environments the way a motivated adversary would — chaining real misconfigurations into proven impact, not listing theoretical findings.

Cloud Security Assessment

A senior review of how your AWS and Google Cloud estate is actually built and governed — scored against a control checklist you keep, and turned into a remediation roadmap your board can read and your engineers can execute.

AWS Security

We audit AWS the way it is actually built — principals, Organizations boundaries, workload roles, and the data paths between them — and hand back the escalation paths we can demonstrate, each with the policy, SCP, or Terraform change that closes it.

Google Cloud Security

We assess and harden Google Cloud where it actually fails — inheritance in the resource hierarchy, service account impersonation chains, GKE workload identity, and the perimeter around your data.

AI Penetration Testing

We test the AI systems you've shipped — assistants, RAG applications, and model-backed features — for injection, retrieval data exposure, and output-handling flaws that turn your model into someone else's tool.

AI Red Teaming

We run objective-driven adversarial campaigns against your LLM and agent deployments — multi-turn jailbreak and goal-hijack chains, scored as a measured bypass rate per control layer rather than a pass/fail verdict.

AI Agent Security

We test what your agents can actually do when the input lies — goal hijack through poisoned context, tool and MCP abuse, and the credential blast radius sitting behind every tool call.

Security Automation

Vendors sell detection. We build fixes — detections as code, AI-assisted triage, and remediation pipelines engineered inside your AWS and Google Cloud accounts, in your repositories, owned by your team when we leave.

Training & Advisory

Instructor-led private cohorts for your engineers and your security team — cloud security, AI and agent security, threat modelling, detection engineering — taught against real misconfigurations, with architecture review and AI security programme design when the gaps turn out to be structural.