Services
Engineering help, with a concrete output.
Security architecture, hands-on implementation, and certification support for teams facing consequential technical decisions.
01 / Boundaries
Inputs → controlled access → tools
Put clear boundaries around sensitive data, AI tools, and the actions your applications can take.
Explore AI security ↗
02 / Trust
Generate → protect → rotate
Modernize cryptographic dependencies and prepare the implementation evidence your evaluators need.
Explore cryptography ↗
03 / Resilience
Endpoint → verification → platform
Design for exposed devices, demanding platforms, and security controls that hold up in practice.
Explore platform security ↗
Start with a defined question
Four ways to begin.
Agree the scope and expected evidence first. Extend into implementation or ongoing advisory when the work calls for it.
A focused starting point
Security architecture review
Where are the most consequential design risks?
- What you bring
- Architecture diagrams, data flows, security requirements, and access to the engineers who own the system.
- Scope
- One agreed system or integration boundary. Implementation and penetration testing are scoped separately.
- What you receive
- Architecture findings, prioritized remediation, and an engineering debrief.
- Timing
- Agreed after reviewing system scope, access, and evidence availability.
Discuss this engagement ↗
A focused starting point
Cryptographic migration assessment
What has to change, and in what order?
- What you bring
- Library and protocol inventory, build dependencies, target platforms, and compatibility obligations.
- Scope
- Dependency and migration planning for an agreed product boundary. Migration implementation is a separate work package.
- What you receive
- Dependency inventory, compatibility risks, validation needs, and a sequenced migration roadmap.
- Timing
- Agreed after reviewing system scope, access, and evidence availability.
Discuss this engagement ↗
A focused starting point
Certification readiness review
What evidence or engineering gaps could delay evaluation?
- What you bring
- Target scheme and scope, design documentation, existing test evidence, and known evaluator questions.
- Scope
- Readiness assessment and engineering support. Formal evaluation and certification remain with the relevant laboratory and scheme.
- What you receive
- Evidence gaps, remediation priorities, and a practical evaluation-preparation plan.
- Timing
- Agreed after reviewing system scope, access, and evidence availability.
Discuss this engagement ↗
A focused starting point
AI integration threat model
What can the workflow access, disclose, or cause?
- What you bring
- Data sources, retrieval design, model and tool interfaces, identities, and proposed business actions.
- Scope
- One agreed AI workflow and its trust boundaries. Model benchmarking and adversarial testing can be scoped separately.
- What you receive
- Trust-boundary diagram, misuse scenarios, control recommendations, and verification priorities.
- Timing
- Agreed after reviewing system scope, access, and evidence availability.
Discuss this engagement ↗
How an engagement works
- Frame the problemIdentify the system, the decision, the constraints, and the people who need the answer.
- Inspect the realityConnect design documentation to code, configuration, dependencies, and observed behaviour.
- Leave usable evidenceDeliver prioritized findings, traceable decisions, and a clear next engineering step.