BlueBear security

Security boundaries for enterprise AI agents and MCP-connected work

Review how BlueBear handles tenant isolation, organization rights, workspace permissions, MCP tool scopes, credential boundaries, policy checks, approvals, and audit evidence.

How BlueBear handles the work

Identity and workspace boundaries

BlueBear carries tenant, organization, workspace, user or service identity, and agent context into governed requests rather than treating an agent as one shared account.

Evidence: Tenant, organization, workspace, user, service, and agent identity on each request

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MCP tool and credential boundaries

Assigned connections, permitted actions, policy results, approvals, and credential references keep tool authority outside prompt text and outside model context.

Evidence: Connection assignment, permitted actions, policy decision, credential reference

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Evidence for review

Correlated sessions, model routes, tool calls, approvals, failures, and outcomes support incident investigation and control review after the fact.

Evidence: Session correlation, tool arguments, approvals, retries, failures, outcomes

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Deployment-specific confirmation

Customers confirm infrastructure, retention, encryption, authentication, and compliance requirements for the selected deployment during architecture and security review.

Evidence: Reviewed deployment pattern, retention and encryption decisions, access model

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From request to inspectable outcome

  1. Establish identity

    Separate the human, service, agent, workspace, credential, and tool identities involved before granting any capability.

  2. Scope the tools

    Assign only the connections and actions the workflow needs, and evaluate them at execution time rather than trusting prompt content.

  3. Gate sensitive actions

    Require approval where an action can expose data, contact customers, change records, deploy code, or spend money.

  4. Retain the record

    Keep correlated session evidence so an incident can be reconstructed and a control review can be answered with specifics.

Frequently asked questions

How does BlueBear separate one client's data from another's?
Users, agents, integrations, workflows, budgets, and evidence are scoped to tenant and workspace boundaries. Requests carry that identity context, so a workspace cannot reach connections or data assigned to a different tenant.
Are credentials exposed to the model?
No. Assigned connections, permitted actions, and credential references are evaluated at an execution boundary. Tool authority stays outside prompt text, so reusable secrets are not placed in model context.
What evidence exists after an agent acts?
Sessions correlate model routes, tool calls, arguments, policy results, approvals, retries, failures, and outcomes. That record is what supports incident investigation, control review, and cost attribution after the fact.
Can BlueBear run inside our own cloud account?
Yes. BlueBear supports managed infrastructure, customer-owned cloud accounts, and private deployment patterns. Each option carries different operating responsibilities, which are agreed during architecture review.
Which compliance requirements does BlueBear meet?
Compliance depends on the deployment pattern selected. Customers confirm infrastructure, retention, encryption, authentication, and compliance requirements for their chosen deployment during architecture and security review.