Qompute AI
What we help with

Three problems we are hired for.

Each says what we need from you, what the work is, what you get, and what stays with your team when we leave. Two are professional services on any stack; the third can involve qore.

Professional service

Find and stop abuse of the AI you already run

An unexplained inference bill, a leaked provider key that keeps coming back, or an agent that did something nobody asked it to do.

Discuss this workAI security engineering

What we need
Architecture, identities, gateway and agent configuration, logs and telemetry, and time with your engineers. No customer data leaves your systems.
The work
Compromise-versus-abuse classification, attack-path reconstruction from the initiating identity to the effect, targeted validation of the riskiest assumptions, and, where scoped, remediation and detection engineering.
What you get
A decision-grade threat picture, a prioritized control backlog, hunt queries where your data permits, and, in embedded engagements, validated fixes and production detections.
What stays with you
Runbooks, queries, and a named owner on your side. Nothing to license.
Professional service

Put an agent or MCP server into production safely

You are about to give an AI system real permissions: tools, credentials, filesystems, cloud roles, or the ability to spend.

Discuss this workRapid threat picture

What we need
The authority map you intend to grant, tool definitions, the runtime and its isolation, and the release process.
The work
Authority mapping, tool-integrity baseline, adversarial testing of likely paths under written rules of engagement, and a regression suite tied to your release gates.
What you get
Validated attack paths with fixes, a tool-integrity baseline, and tests that fail when a risky change is reintroduced.
What stays with you
The tests, the baseline, and the review checklist stay with your team.
Professional service, optionally with qore

Run AI on data that cannot leave a boundary

Analysts, investigators, or a regulated team need models over documents that cannot go to a hosted service, and someone has to answer for what the AI did with them.

Discuss this workPrivate-AI deployment

What we need
The data, the boundary and its isolation level, the hardware you control, and the control framework you are assessed against.
The work
Deployment assessment of what you already run or a qore deployment, a written plan, guided installation and hardening, and operator and builder enablement. A pilot gets success criteria in writing before it starts.
What you get
A running environment with identity, policy, encrypted stores, and audit records your compliance function can inspect, and a closing report for a go or no-go decision.
What stays with you
A configuration record and operator runbooks. qore, if used, stays under preview terms separate from the service fee.

Not one of these?

If your problem is close to one of the three, say so. If it is far from all of them, we will say we are not the right people and, where we can, who is.

Discuss a project