Security and governance for agent systems that actually do work.
Security is the guardrail product around the stack: a kernel inside the runtime, heavier sidecar work outside it, and an operator surface for approvals, audit, and scans.
AI adoption becomes risky when security is treated as an afterthought.
Teams let agents do meaningful work but do not build approvals and audit trails into the workflow.
Heavy scans, anomaly checks, and kill-switch logic often get stuffed into the same process as chat.
Operators need a security surface that speaks in incidents, approvals, and scans, not internal runtime jargon.
Without clear boundaries, one security concern can destabilize the whole product stack.
A split security model with an operator surface.
Security separates blocking preflight logic, heavier background analysis, and operator workflows so teams can govern agent systems without freezing product delivery.
Approvals and audit
Track sensitive actions, operator decisions, and review flows in a dedicated surface.
Sidecar for heavy checks
Keep scans and anomaly analysis outside the chat hot path so the runtime stays stable.
Kill-switch posture
Make emergency stops and workspace-level controls part of the design instead of the postmortem.
How teams adopt it
Map the approval points
Decide which actions stay automated and which require operator review.
Split runtime from security work
Keep blocking checks, sidecar analysis, and operator review in the right places.
Run with operator visibility
Give the security owner a surface made for real governance work, not generic logs.
Design secure AI ops
Run a security design review
We can map approval, audit, and kill-switch requirements onto your stack before rollout.
Book security reviewJoin as a design partner
Security is a fit for teams that want governance built in while the product is still taking shape.
Talk about partnershipTrain the operators
Verduona can train ops and security leads on approval handling and boundary design.
Add governance training