Identity and access.
Design least privilege, authentication, segmentation and credential handling. Keep ownership and access review explicit.
Security engineering
Part of the system.Not an afterthought.
Understand what needs protecting and where trust is being placed. Build the controls into the architecture, then test the behaviour.
Explore the capabilityENGINEERING FOCUS
01Map the threat
02Design the controls
03Test and review
Start with what can actually happen.
Map identities, data flows and permitted actions. Connect risk decisions with technical controls and the people who will operate them.
Detection and readiness.
Collect useful telemetry, tune detection and prepare response procedures. Test containment and recovery with the relevant teams.
AI and application security.
Review trust boundaries, prompt-injection exposure, tool permissions and data handling. Enforce controls outside the model.
A possible workflowIllustrative example.
Separate an agent's read access from its ability to request changes, and exercise attempts to cross that boundary.
No architecture eliminates every risk. Document the scope, assumptions, controls and residual risk rather than promising absolute security.
A closer look
Good questions.
Straight answers.
Does security only apply to the AI layer?
No. Identity, networks, applications, data and people all shape the security of the system.
Do you provide compliance certification?
We design and test technical controls and can support assessment readiness. An accredited or authorised certification body issues the certification; this page is not a certification offer.
Technical reference: MCP: security best practices (opens in a new tab)
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