Least-privilege access
Give people, services and agents only the permissions necessary for their role and workflow.
Security & Responsible AI
Controls should be part of the architecture, not an afterthought.
Our approach starts with the information, systems and decisions a solution touches, then applies controls appropriate to that environment. Specific compliance claims depend on the actual hosting, vendors, implementation and customer requirements.
Human checkpoints
High-impact actions can require approval, exception handling or explicit escalation rather than autonomous execution.
Auditability
Design logging around requests, tool calls, important actions, failures and review decisions so behavior can be understood.
Data boundaries
Separate public, internal and sensitive information and intentionally control what is sent to models, APIs and third parties.
Provider awareness
Model, cloud and SaaS choices should account for retention, access, regional and contractual requirements.
Operational resilience
Use fallbacks, retries, monitoring and graceful failure paths so automation does not become a new single point of failure.
This page describes design principles, not a certification statement. Final controls and compliance obligations must be validated for the specific project and environment.