Web applications
Authentication, authorization, session handling, business logic, file handling, injection, access control and multi-step attack paths.
We test the systems your users and attackers actually touch — applications, APIs, infrastructure, cloud environments and AI-powered workflows. The approach changes with the target, but the standard stays the same: find it, prove it, explain it.
We start with the application as it really behaves, not just how it was designed to behave. That means mapping the surface, testing trust boundaries and looking for chains that lead somewhere useful.
Authentication, authorization, session handling, business logic, file handling, injection, access control and multi-step attack paths.
REST, GraphQL and service-to-service integrations, with attention to object-level authorization, data exposure and trust between systems.
Where relevant, we assess mobile application flows, client-side logic and the backend interfaces that actually enforce security.
Finding an exposed service is only the first step. We care about what happens after the foothold — what can be reached, what can be escalated and where the boundaries stop working.
Internet-facing services, applications, remote access, misconfigurations and weaknesses that can provide an initial foothold.
AWS, Azure and GCP environments, identity and access paths, storage exposure, configuration weaknesses and privilege escalation opportunities.
Network segmentation, exposed services, privilege boundaries and realistic paths from one compromised system to another.
Red team work should answer a question, not just generate activity. We build scenarios around the systems, data or business outcome you want to protect, then see how far a realistic attacker can get.
We don't run a generic playbook. We define an objective, build an attack path and test how far a determined adversary can go.
AI systems blur the line between instructions, data and actions. We test those boundaries and look for ways untrusted input can influence models, tools, connected data or privileged actions.
Direct and indirect instruction attacks against AI applications and agentic workflows.
Paths that can cause sensitive context, connected resources or privileged information to cross an unintended boundary.
Tool access, external actions and integrations where model behavior can become a security decision.