Identity & access
Role-based access, least privilege and integration with enterprise identity where required.
TRUST & GOVERNANCE
AI Security & Governance
Enterprise AI should be designed around data protection, access control, evaluation, human oversight and operational visibility from the beginning.
01
Security architecture principles
Final controls depend on the customer environment, data classification and deployment model. Our design approach considers:
Data protection
Controlled data flows, appropriate storage, encryption requirements and separation of sensitive information.
Auditability
Traceable workflow events, approvals, system actions and relevant model interactions.
Environment controls
Secure deployment patterns, secrets management, network boundaries and production change controls.
02
AI governance
AI introduces risks that traditional application controls do not fully address.
Evaluation
Test representative scenarios, edge cases, failure modes and regression behavior before and after changes.
Human-in-the-loop
Route exceptions and higher-risk actions to defined reviewers rather than forcing automation.
Model controls
Choose models according to accuracy, latency, cost, data handling and deployment requirements.
Monitoring
Track quality, operational performance, usage, errors, drift indicators and cost signals.
03
Responsible production lifecycle
Discovery → data and risk assessment → controlled prototype → evaluation → security review → production rollout → monitoring → periodic reassessment.
Policy alignment
Map the solution to customer-specific security, privacy, compliance and AI governance requirements.
Evidence
Maintain test results, acceptance criteria and operational records appropriate to the use case.
Continuous improvement
Treat prompts, models, retrieval sources and workflows as change-managed production components.
NEXT STEP
Find a workflow worth automating.
Security is not a single feature or certification claim. The appropriate controls must be established with the customer’s environment, policies, regulatory obligations and risk profile.