Managed private AI agents for IT and security
A managed private AI agent service combines a governed agent platform with agreed operating work, such as onboarding, maintenance and support. Private describes the approved data and execution boundaries; managed describes who operates each component. Hosting alone does not define support coverage or a managed SOC service.
Evaluating this for your team? Discuss your use case, deployment boundary and success criteria in a technical briefing.
Book a technical briefingWhat the service should include
Agree one operating schedule before connecting production hosts. It should name the platform owner, customer administrator, approved model endpoint and escalation contact.
- Onboarding: scope, host enrolment and access review.
- Operations: health checks, release handling and backup responsibilities.
- Support: contact channel, coverage hours and response targets in the contract.
- Change control: approvals, maintenance windows and rollback responsibilities.
Choose the deployment boundary
For a hosted service, host execution still takes place on customer-enrolled machines. For customer-hosted operation, assign platform, storage and model responsibilities explicitly. An offline environment needs a separately accepted disconnected design.
Review deployment responsibilities · Review data processing
What IT and security teams can review
Host investigations show the commands that ran, their exit codes and output, per host.
Read-only execution policy is the default on every enrolled host; the full policy is an explicit, per-host choice.
In automatic-review mode, the classifier assesses command risk and returns approve, deny or escalate, a low, medium, high or unknown risk level, and a rationale. It is a command-risk control, not document classification or DLP.
Use the returned evidence to support investigation and change decisions. This is not a promise of continuous SOC staffing, automatic incident resolution or document DLP.
Start with a measured evaluation
Choose two supported host workflows, a small non-production scope and a repeatable manual baseline. Record evidence completeness, reviewer acceptance, elapsed time and policy violations. Sample demonstrations are examples; customer outcomes require an actual evaluation.
Questions buyers ask
Is hosted the same as managed?
No. The statement of work must name the components, operating tasks, support hours and incident responsibilities covered by the service.
Does the agent approve every command automatically?
The execution policy determines which commands may run and which need review. Start with restricted access and agree any expansion.
Read-only execution policy is the default on every enrolled host; the full policy is an explicit, per-host choice.
Execution follows the configured host policy. A command can be approved, denied or referred for human review; individual approval depends on that policy.
What do you classify?
The automatic-review policy concerns commands and their execution risk.
In automatic-review mode, the classifier assesses command risk and returns approve, deny or escalate, a low, medium, high or unknown risk level, and a rationale. It is a command-risk control, not document classification or DLP.
How is pricing agreed?
The quote should identify host count, deployment, implementation work, support coverage, model usage and term. Confirm infrastructure ownership and exclusions before ordering.
Where to go next
All guidesBring one question of your own.