Design, integrate and secure the technology behind AI.
Connect AI to your data, applications and workflows with the architecture, identity, security controls and visibility needed to operate it responsibly.
Make the architecture understandable before adding products.
What should we build on?
Evaluate enterprise AI platforms, models, cloud services and capabilities you already own.
What can AI access and do?
Define identity, permissions, data access, APIs/MCP, tool access, approvals and boundaries around automated actions.
Can we see and respond?
Plan logging, observability, policy enforcement, SIEM/XDR/SOAR integration, incident response and rollback.
From platform selection through technical operations.
Architecture & integration
Platforms, models, data, applications, agents, APIs/MCP, cloud and workflow integration.
Identity, data & security
Human and non-human identity, least privilege, data protection, secrets, gateways and policy enforcement.
Monitoring & operations
Secure development, testing, logging, agent activity monitoring, SIEM/XDR/SOAR, incident response and lifecycle controls.
Start with the stack you already own.
We review existing identity, data, networking, cloud and security capabilities before adding specialist tools. New technology should solve a defined requirement and fit the team that will operate it.
Security is part of the design.
Identity, data protection, agent permissions, API/MCP controls, monitoring and response are built into the technology conversation from the start.
Building or integrating AI systems?
Tell us what you are connecting, what it needs to access and what controls already exist.
Get in touch →