Web, API, mobile, and AI security testing.
Source-assisted where available, with every reportable issue reproduced against the running system. Findings include enough code and workflow context for engineers to fix them directly.
- Scope
- Web, API, mobile & AI
- Deliverables
- Reproduced findings with code context
- Approach
- Source-assisted where available
- Web applicationAuthenticated and unauthenticated paths, tenancy, access control, session and SSO flows, client-side logic, business logic, and third-party integrations.
- API & web servicesREST, GraphQL, gRPC, partner and internal APIs, gateways, service-mesh boundaries, object and function authorisation, schema exposure, SSRF, and abuse controls.
- MobileiOS and Android applications, local storage, key handling, runtime protections, inter-app communication, deep links, transport security, and backend alignment.
- Endpoint & thick clientElectron, .NET, Java, and native clients, privilege boundaries, update mechanisms, local data, IPC and plugins, unsafe file handling, and credential exposure.
- Secure code reviewThreat-model and design review, critical paths such as auth, payments, tenancy and crypto, pre-release control validation, and post-incident recurrence review.
- AI / LLM applicationsPrompt and tool boundaries, agent workflows, RAG pipelines and data exposure, system-policy enforcement, unsafe rendering, and model supply-chain risk.
Source-assisted where it improves the test.
- Testing methodManual exploration is paired with targeted automation, schema-aware fuzzing, runtime instrumentation, and code review on the paths most likely to affect users or data.
- AI-assisted triageLocal or private tooling can support variant search, unfamiliar-framework review, and draft reproducers. Every finding is reproduced by a human against the running system.
- Data boundariesSource, secrets, and customer data stay in agreed client, local, or hardened environments. Public AI services are not used without explicit approval.
- Developer outputReproduction steps, code context, affected workflows, severity tied to business and data sensitivity, and a specific fix path.
- Working sessionThe operator who found the issue walks engineers through the evidence, answers implementation questions, and helps validate the proposed fix.
Planning an application assessment.
- Define the boundariesName the applications, API families, roles, tenants and environments to include. Agree mobile, source-code and third-party coverage explicitly. Load testing and disruptive availability testing are not assumed parts of the scope.
- Prepare accessSupply representative test accounts, approved test data and a stable build. Architecture and API documentation help establish coverage; credentials and code are exchanged only through an agreed secure channel.
- Plan time and costDistinct workflows, access roles, integrations and code-review depth drive effort. Release changes and access delays can affect the schedule. The statement of work records the testing window, deliverables and retest arrangements.
Should we test the web application and API together?
Where both enforce important controls, combined coverage can clarify the boundary between browser and backend behaviour. A focused API penetration test is also available when the service interfaces are the priority.
Will the report tell engineers what to change?
Findings describe the affected workflow, required access, evidence and recommended fixes. We record coverage and limitations, then work through the findings with your engineering team.
Send what you are shipping.
Start with an application description, deployment model, access roles and the release or assurance deadline. We will agree a secure channel before exchanging source code, credentials or sensitive architecture.