EXPERTISE / AI
Secure AI
Provide AI access without automatically granting access to all data, all actions or an unlimited budget.
WHAT TO ADDRESS
Choose the right engagement.
Permissions, provider data use, retention, residency and cost enforcement are assessed separately. Technical features and applicable obligations are checked for the chosen offering and use case.
7 results
AI-01 / Secure AI
Secure enterprise AI deployment
Provide useful AI to teams within a controlled framework: approved uses, identities, data, integrations, costs and operations. Security covers the whole service, not merely the selected model.
AI-02 / Secure AI
AI governance and risk assessment
Identify AI uses, owners and risks to decide what may be deployed and under which conditions. The programme links quality, security, personal data, human oversight and change monitoring.
AI-03 / Secure AI
Permission-aware RAG document assistant
Connect an assistant to enterprise documents without granting more access than the user has. RAG retrieves material before generating an answer; permissions must be enforced before prohibited data enters the model’s context.
AI-04 / Secure AI
AI cost controls, quotas and access gateway
Make AI consumption attributable and controllable by user, team or application. The project combines measurement, model selection, quotas, alerts and tested enforcement without confusing budget notifications with blocking.
AI-05 / Secure AI
AI system security testing and validation
Assess a complete AI application: model, data, connectors, policies, tools and users. Tests examine information leakage, malicious instructions received by the system and limits on possible actions.
AI-06 / Secure AI
AI agent and enterprise-action security
Govern AI that can use tools or act: least privilege, task boundaries, approval of sensitive operations and a stop mechanism. An agent must not automatically inherit every permission of its operator.
AI-07 / Secure AI
Private AI hosting and data-lifecycle control
Deploy or scope AI in an environment with controlled hosting, access and processing. The service examines model, inference, indexes, logs, backups and subprocessors; private hosting is not automatically secure.
No matching results. Try a broader term or another family.
SET THE BOUNDARIES
What we agree
before we start.
- Customer: business sponsor, data owners, identity team, DPO/legal where needed and budget. Provider: architecture and tests; customer retains approval of sensitive use.
- Uses, users, models, data, connectors, permissions, actions, volumes and hosting. Separate project, licenses, tokens, search, storage and operations; no claimed savings without measurement.
Technology names in service descriptions are implementation examples, not claims of partnership or licence entitlement.
START A CONVERSATION
Let’s put the next step in focus.
Tell us what you need to protect, change or understand. We will start with the scope, not a product list.