Application and AI security work scoped to the systems you actually ship.
We review architectures, test applications and APIs, harden cloud and delivery pipelines, and assess the specific risks of AI features such as prompt injection and data leakage — then help your engineers fix what we find.
- Architecture and threat model review
- Application and API testing
- AI system security assessment
- Cloud and pipeline hardening
- Remediation support
Where this helps
What we deliver
How it works
- 01
Scope
We agree the systems, environments, test windows and rules of engagement in writing, including what is out of bounds.
- 02
Review and model
Architecture and code are reviewed and the likely attack paths are written down, so testing time goes where the risk is.
- 03
Test
Testing runs in the agreed environment, with any critical finding reported immediately rather than held for the report.
- 04
Report and fix
Findings are ranked by exploitability and impact, each with evidence and a recommended fix, and remediation is tracked with your team.
- 05
Retest and embed
Fixed issues are retested, and the checks that would have caught them are added to your pipeline.
Design decisions we make with you
Scope and depth
A focused test of one critical application is often more useful than a shallow scan of everything. We scope to the systems that hold sensitive data or money.
Test environment
Testing against a production-like staging environment avoids risk to live users; some checks need production and are scheduled with you.
AI permissions
For AI features, the most effective control is usually limiting what the model can read and do, not filtering what it says. We review permissions first.
Findings handling
Reports and evidence are shared only with named contacts and stored under agreed retention. See [trust and security](/company/trust-security) for how we handle client data.
Applications
Related capabilities
- Cloud & DevOpsCloud architecture, infrastructure as code, deployment pipelines, reliability practices and cost visibility.
- Responsible AI & GovernancePractical ownership, review, privacy and audit controls that let teams ship AI without losing track of what it does.
- Enterprise & Private AIAI deployed with the data isolation, access control and operational ownership your security and compliance teams require.
- Quality EngineeringTest automation, performance testing, release checks and production quality signals built into how software is delivered.
Questions buyers ask
It is technical security work — review, testing and remediation. We do not issue compliance certifications. Our findings and fixes can support your audit evidence, but the audit itself is done by an accredited assessor.
Alongside normal application testing, we try to make the model leak data, exceed its permissions or act on injected instructions — through user input, retrieved documents and tool responses — and check what the surrounding system allows it to do.
Critical issues are reported as soon as they are confirmed. Everything is documented with evidence and a fix, shared only with your named contacts. Read more on our trust and security page.
Discuss this capability with an engineer.
Tell us about the workflow or product. We reply with questions, a suggested first step and who would work on it.