Build trust into the system.
Make security, access controls, and AI accountability part of the architecture from the beginning.
Purpose before complexity.
AI changes how information is accessed and how actions are initiated. We design controls around those new paths, with appropriate oversight and explicit ownership of consequential decisions.
What we can help you build
- Application security and threat modeling
- Identity, permissions, and data access design
- AI risk assessment and evaluation frameworks
- Audit trails, incident readiness, and governance
A clear path forward
A prioritized risk register, control recommendations, evaluation criteria, and an implementation plan.
Explore our delivery approachDesigned around your domain.
Explore the business contexts that shape how we approach AI and engineering.
Industries we serveUnderstand the system and its exposure
Security consulting begins with the assets, users, and information paths of the application. We identify how people authenticate, what permissions they receive, where sensitive data moves, and which external services are involved. Threat modeling helps prioritize realistic failure and misuse scenarios.
AI features create additional paths through retrieved content, prompts, model outputs, and connected tools. We examine how untrusted instructions could influence a workflow, what an agent is allowed to access, and which actions require explicit approval. Security controls are designed around these paths rather than being limited to the user interface.
Translate risk into practical controls
Recommendations can cover role design, data minimization, secure integration patterns, output validation, audit events, and incident readiness. We connect each proposed control to the risk it addresses and identify the system owner responsible for implementing it.
For responsible AI reviews, we consider the purpose of the application, the people affected, evaluation evidence, and the degree of automation. The review should define where human judgment is required and how users can challenge or correct a result. Any sector-specific requirements are established with your internal stakeholders and appropriate advisers.
Create an actionable improvement plan
A useful assessment distinguishes urgent issues, structural improvements, and ongoing operating practices. Findings can be organized into a risk register with impact, dependencies, proposed actions, and acceptance evidence. Where implementation is included, remediation should be validated against the original concern.
Engagement deliverables can include a system threat model, access-control recommendations, an AI evaluation plan, and incident-response considerations. Consulting does not imply a certification, audit opinion, or guarantee of compliance. The exact review boundaries and any specialist assurance work are agreed in advance.
- System and information-flow review
- Prioritized application and AI risk register
- Control designs and remediation recommendations
- Evaluation evidence and governance responsibilities