Private and on-premises AI agents

Run AI agents within customer-operated infrastructure boundaries

BlueBear private deployment patterns combine customer-operated Kubernetes or supported compute, private data and integration paths, approved model endpoints or self-hosted inference, and an explicit plan for updates, evidence, and support.

Assess a private deployment Compare with BYOC

Private does not automatically mean isolated—or operable

A private deployment is defined by actual identity, network, software-supply-chain, telemetry, model, data, and support paths. Running containers on customer hardware is only one part. Teams also need a safe way to provision, update, observe, recover, investigate, and eventually remove the platform.

Core capabilities

Customer-operated runtime

Place selected runtime services on customer-managed Kubernetes or supported compute, with customer-defined node, storage, availability, and capacity controls.

Restricted network paths

Use private routing, enterprise DNS, proxies, allowlisted egress, internal load balancers, and customer security controls to limit reachable systems and external dependencies.

Private model options

Connect to approved private model endpoints or self-hosted inference such as vLLM when hardware, model licensing, latency, quality, and operational requirements support it.

Local secret custody

Integrate with the customer-selected secret and key system, then scope access to specific workloads, integrations, operators, and rotation procedures.

Controlled software updates

Define image sources, artifact verification, vulnerability handling, configuration promotion, maintenance windows, rollback, and emergency patch procedures.

Local evidence and support

Choose where telemetry and audit evidence stay, what can leave the environment, how support receives diagnostic information, and how sensitive data is removed from it.

Prove the operating model before production

Private infrastructure shifts more responsibility to the customer. The design has to cover the full lifecycle, not only initial installation.

  1. Step 1

    Inventory required dependencies

    List identity, DNS, certificates, registries, models, storage, databases, tools, email or messaging, license checks, telemetry, time synchronization, and update channels.

  2. Step 2

    Choose the network posture

    Define connected, restricted-egress, or disconnected operation and identify which product features or support workflows change under that posture.

  3. Step 3

    Establish lifecycle procedures

    Document installation, validation, upgrades, secrets rotation, capacity, backup, restoration, monitoring, incident response, and decommissioning.

  4. Step 4

    Exercise failure modes

    Test registry loss, certificate expiry, unavailable models, storage pressure, broken DNS, revoked credentials, failed upgrades, recovery, and evidence export.

Disconnected operation requires explicit validation

This page does not claim that every BlueBear feature operates in a fully air-gapped environment. External model APIs, software registries, communications integrations, license or support services, telemetry, and control-plane dependencies must be inventoried and replaced, mirrored, proxied, or disabled for the selected network posture.

Private deployment can increase data and infrastructure control while also increasing patching, capacity, availability, recovery, model operations, and support responsibilities. Those responsibilities must be assigned before production use.

Continue the topic

BYOC AI agent platform

Compare private infrastructure with customer-owned public-cloud deployment.

Azure deployment

Use Azure-native identity, private networking, and operations controls.

AWS deployment

Use AWS-native account, IAM, VPC, and observability controls.

Kubernetes agent deployment

Prepare resource, health, isolation, and scaling controls.