Enterprise AI authority & assurance

Put AI agents into production. Keep control.

CerebroIQ determines what AI agents may access, remember, approve, change, and execute—and verifies that every consequential action remains within human and enterprise authority.

Start an authority pilot →Explore the platform ↓

Built forSecurityAI PlatformRisk & ComplianceEnterprise Architecture

C CerebroIQ

Authority controls active

AuthorityDelegationsKnowledgeEnforcementEvidence

Live authority postureEnterprise AI control

Authority-controlled actions82,491Across AI systems

Excess authority blocked1,284Policy enforced

Evidence coverage100%Delegation to outcome

One authority layer acrossAI agentsModelsKnowledgeMemoryToolsEnterprise systems

The authority gap

AI can act.
Enterprise authority did not evolve with it.

Identity platforms authenticate actors and gateways control traffic. Neither provides one reusable system for delegated AI authority and complete cross-system evidence.

Authority is implicit

Agents inherit broad credentials without a precise statement of what they may know, remember, or do.

Policy is fragmented

Every model, connector, memory store, and tool creates another disconnected control surface.

Evidence stops early

Logs record calls, but rarely connect human delegation to the final business action and outcome.

Enterprise AI authority solutions

Move AI agents from experiment to controlled production.

CerebroIQ applies action-level authorization and evidence across the systems where AI agents retrieve knowledge, change records, write code, invoke tools, and affect production.

Jira and ServiceNow agent action control

Control ticket knowledge, classification, field updates, transitions, assignments, approvals, and automated operational actions.

AI coding agent and GitHub authority

Protect proprietary source code and determine which repositories, files, pull requests, merges, and CI/CD actions an AI coding agent may perform.

Kubernetes and cloud AI operations

Require independent approval before AI agents make sensitive infrastructure, IAM, Terraform, Kubernetes, or production deployment changes.

The CerebroIQ platform

One authority model.
Every AI workflow.

A reusable ontology expresses who may know, use, transform, remember, act, delegate, and approve across enterprise systems.

01 / Authority ontology

Normalize authority across vendors and systems

Map identities, resources, relationships, purpose, risk, scope, and obligations once, then enforce them everywhere.

Bounded, expiring, revocable delegation
Contextual policy and human escalation
Cross-model, cross-agent, cross-system decisions

Human ownerDelegates

AI agentActs

PolicyEnforces

EvidenceProves

02 / Enforcement

Control every AI boundary

Enforce through the Authority Enforcement Gateway, knowledge connectors, memory authority, DLP, model routing, and tool adapters.

03 / Evidence

Reconstruct the complete workflow

Link identity, delegation, data access, model use, approval, execution, and business outcome.

Deploy where authority lives

Cloud, private VPC, or customer on-prem.

The enforcement plane runs close to AI traffic with local policy snapshots and fail-safe controls. Customer identities, knowledge, model credentials, and evidence stay inside the chosen trust boundary.

✓ Kubernetes-ready containers✓ OpenAI-compatible ingress✓ Bring-your-own model endpoints✓ Prometheus health and metrics✓ Persistent evidence schema✓ Offline-capable policy enforcement

Authority decisionVerified

subject: agent:triage
relation: act
resource: system:jira
scope: support
decision: require_approval
evidence: wf-8f31...c920

Bound to workflow evidence

Two pilot-ready entry points

Start in operations. Expand into software delivery.

Controlled Agent Operations: control AI knowledge, triage, updates, transitions, and approvals in Jira or ServiceNow.

AI Software Delivery Control: control how AI coding agents access proprietary code, create pull requests, merge changes, and deploy through GitHub, CI/CD, and Kubernetes.

Connected authority chainRequest to productionJira/ServiceNow → agent → GitHub → approval → CI/CD → Kubernetes → outcomeDesign the first workflow →

Frequently asked questions

Enterprise AI authority and assurance, explained.

What is enterprise AI authority and assurance?+

Enterprise AI authority defines and enforces what AI agents may access, remember, approve, change, and execute. Assurance verifies that agent actions remained within policy and connects human delegation to the resulting business outcome.

How is CerebroIQ different from an AI gateway?+

AI gateways primarily control model traffic. CerebroIQ controls delegated authority across a complete workflow, including knowledge access, model use, memory, tool calls, human authorization, enterprise actions, and assurance evidence.

Does CerebroIQ replace IAM, Jira, ServiceNow, GitHub, or an API gateway?+

No. CerebroIQ integrates with existing identity, gateway, ticketing, source-control, CI/CD, and cloud platforms. It adds AI-specific authority decisions and cross-system evidence without requiring enterprises to replace their existing control stack.

Can CerebroIQ be deployed on-premises?+

Yes. The platform is designed for Kubernetes deployment in a customer data center, private cloud, VPC, or hybrid environment, with customer-controlled model endpoints, policies, credentials, and evidence.

What can a CerebroIQ pilot demonstrate?+

A pilot can control a Jira or ServiceNow agent workflow, or connect an operational request through GitHub, CI/CD, and Kubernetes. It demonstrates allowed actions, required human authorization, prohibited actions, revocation, and workflow-linked assurance.

Start a conversation

Bring one AI workflow.
Leave with an authority map.

We’ll identify its human owner, delegation boundary, enforcement points, and evidence requirements.