The AI control plane

Govern every agent.
Control every action.

GovernSecureProve

CortexHub is the governance, control, and security layer for AI agents. Use governed Co-workers and organization agents in CortexHub, or connect the agents you already run through our MCP and AI gateways. Every action follows your policy and leaves one audit trail.

Illustrative workflow

Project update team channel

1
Read project issuesAccess project issues from Jira
Allowed
2
Draft a team updateUse AI to summarize and draft a message
Ready
3
Post to #project-updatesSend the update to your team channel
Approval required
REVIEW BEFORE POSTING
Release testing is complete. Two issues need follow-up.
Destination#project-updates
Requested byAlex's co-worker
4
Execution recordDetails will be available after execution
Available after execution
01
Choose the tools

Connect the apps and agents your teams already use.

02
Set the rules

Decide what AI can do and which actions need approval.

03
Review the proof

See what happened with a clear, tamper-evident record.

The problem

Your board is asking how you govern AI. Right now, you cannot answer.

AI agents are already acting inside your company: calling tools, touching data, taking actions, mostly ungoverned. Without a control plane there is no single policy, no proof, and no way to stop a risky action before it runs.

Without a control plane
✗Shadow AI: agents your teams adopted are calling tools with no central policy.
✗Ungoverned tool calls. Every agent can reach any tool, including destructive ones.
✗No audit trail, no accountability, no evidence when the board asks how you govern AI.
✗Credentials sit inside agents. Secrets leak into logs and prompts.
✗Sensitive data flows unredacted into logs and telemetry pipelines.
✗Risky actions run immediately, with no human review before something irreversible happens.
With CortexHub
✓One policy across every agent, enforced at runtime at the MCP gateway.
✓Least privilege: you decide what each team can reach. Block-by-default fallback.
✓One audit trail and evidence, mapped to SOC 2, ISO 42001, EU AI Act, and NIST AI RMF.
✓Credentials stay in the vault. Agents never see vendor secrets.
✓PII and secrets are redacted before anything reaches storage.
✓High-risk actions wait for human approval before they run.
One control plane, two sides

Govern what you have. Deploy one you trust.

Every agent, external or hosted, connects through the same gateway and is governed by the same policy. On one side, govern Claude, Cursor, and ChatGPT. On the other, deploy a governed AI Co-worker. One policy. One audit trail.

Runtime policy gatewayEvery action is checked before it runs
Live policy
Claude
ChatGPTChatGPT
CursorCursor
+ any MCP client
CORTEXHUB
Gateway
Policy + audit
GitHubGitHub
VIEWPERMIT
MERGEAPPROVAL
DELETEDENY
SlackSlack
READPERMIT
POSTAPPROVAL
DELETEDENY
NotionNotion
READPERMIT
WRITEPERMIT
DELETEDENY
+ 100 more integrations
Govern what you have

External agents, governed at the point of action.

The AI tools your teams already use call tools through the CortexHub gateway. Policy is enforced at runtime, before any tool runs: approvals, redaction, least privilege, and block-by-default.

Deploy one you trust

A governed AI Co-worker, on the same policy.

Deploy a hosted Co-worker with a Brain that learns your business, governed by the same policy from day one. Every action lands in the same audit trail as every other agent.

Organization agents

Create an agent for the team. Install it in Slack as a bot.

Org admins create the shared agent, assign its capabilities, and install the hosted version directly into Slack. Every @mention and action stays governed and auditable.

See organization agents →
Organization agentsCreate once. Deploy where work happens.
Admin managed
+Create organization agentHosted · Operations
O
Operations agentHosted · Operations group
Governed
Named Slack bot@operations-agent · Approval cards and @mentions
The four pillars

Govern. Secure. Prove.
And give them better.

Governance, security, and compliance lead. The governed Co-worker is what your workforce loves.

01 · Govern

One policy across every agent.

Enforced at runtime at the MCP gateway, at the point of action. Not a registry that watches from above: policy is evaluated server-side before any tool runs.

Block-by-default. No bypass mode. Enforcement in the path of every call.
02 · Secure

Approvals, redaction, least privilege.

High-risk actions wait for human review. PII and secrets are redacted before anything is stored. Each team reaches only what you allow, and nothing more.

Human-in-the-loop approvals. Credential vault. Per-team least privilege.
03 · Prove

One audit trail and evidence.

Controls mapped to SOC 2, ISO 42001, the EU AI Act, and NIST AI RMF. Records are tamper-evident and verifiable offline, so an auditor does not have to take your word for it.

Hash-chained records. Offline verifier. Identity attribution to a named person.
04 · And give them better

A governed AI Co-worker with a Brain.

When you want AI your workforce can trust, deploy governed Co-workers with a Brain that learns the business. Governed by construction, and transparent: you can see the Brain, so you can trust it.

A visible Brain you can explore and correct. Same policy. Same audit trail.
The Brain

One living map of your work, not a black box.

The Brain is a single living map of your work: the people, projects, conversations, documents, preferences, and lessons your Co-worker learns. It grows from everyday work, keeps one canonical record of each person and project, remembers what matters, and corrects itself when things change. You can see it, explore it, and correct it, so what the Co-worker knows is transparent and auditable.

  • One record for each thing. Explore by People, Projects, Conversations, or a graph view. "The migration" and "Q3 Migration" stay one record, not duplicates.
  • See and correct it. Pin what matters, retract what is wrong, and merge duplicates. Corrections become lasting, governed knowledge.
  • Governed and auditable. Every read and write runs through the same policy and audit as any other agent, so you can audit what it knows.
Sarah ChenProject AtlasQ4 renewalsEnterprise rolloutSecurity reviewCheck invoicesMarcus Lee
PeopleProjectsConversationsLessons
Meetings

A Co-worker that shows up and speaks up.

Your governed Co-worker does not just take notes. It joins the call already knowing your people, projects, and decisions from the Brain, speaks in its own voice, answers questions, and contributes. When the meeting ends, what was decided flows back into the Brain, governed by the same policy as everything else.

An active participant, not a silent notetaker. It participates and remembers. It does not replace the people in the room.

  • The Brain is why it is good. Because the Co-worker learns from everyday work, it walks into the meeting prepared. The better the Brain, the better the participant.
  • Every meeting makes the Brain richer. What is decided in the room becomes lasting, governed knowledge, so the next conversation starts further ahead.
  • Governed like everything else. The same policy, approvals, redaction, and audit trail apply in the meeting as on every other tool call. No separate rules.
Alex's Co-worker · MeetingLive
ChatMeetingBrain
4 participants · Co-worker active
Sarah Chen
Account lead
Marcus Lee
Engineering
Priya Rao
Finance
Speaking
Alex's Co-worker
CortexHub · governed
Alex's Co-worker

“Picking up the renewal thread: last quarter we paused Project Atlas on the security review. That sign-off cleared Tuesday, so we can commit the rollout date today.”

01 · Prepared

Walks in already knowing.

Before the call, the Co-worker draws on the Brain: your people, projects, past conversations, and the decisions that led here. It arrives with context, not a blank page.

02 · Present

Joins the call and contributes.

It is in the room. It speaks in its own voice, answers questions, surfaces the relevant history, and keeps the conversation moving. An active participant, not a passive recorder.

03 · Permanent

Every decision flows back.

Decisions, action items, and follow-ups land in the Brain, under the same policy and the same audit trail. Every meeting makes the Brain richer for the next one.

Advanced compression

Cut your agents' token spend, automatically.

CortexHub shrinks tool results before they reach the agent, out of the box, with no configuration. Your agents get what they need, you pay for fewer tokens, and nothing about your policy or your audit trail changes.

Automatic, out of the box

Compression is on from day one. There is nothing to tune, no library to choose, and no pipeline to build. It works across every agent on the gateway.

Savings without weakening governance

Results are compressed on the way to the agent, not the audit trail. The same policy, redaction, and tamper-evident record apply. You save on tokens without giving up proof.

Every agent, one control plane

External agents and Co-workers both benefit from the same gateway. Cost savings and governance come from one place, not a bolt-on.

The full scope

Everything an enterprise gets, in one control plane.

Govern the agents you already have, deploy governed Co-workers, and prove every action under one policy and one audit trail.

✓

Govern external agents at the gateway

The AI tools your teams already use call tools through one governed gateway, with policy enforced at runtime.

✓

Deploy a governed Co-worker

A hosted AI Co-worker with a Brain that learns your business, on the same policy from day one.

✓

Meetings, as an active participant

A Co-worker that joins the call prepared, speaks and contributes, then writes decisions back to the Brain.

✓

The Brain: learning, auditable memory

One living map of your work you can see, explore, and correct. Every read and write is governed.

✓

Approvals, redaction, least privilege

High-risk actions wait for human review. PII and secrets are redacted. Each team reaches only what you allow.

✓

One audit trail and compliance mapping

Tamper-evident records mapped to SOC 2, ISO 42001, the EU AI Act, and NIST AI RMF, verifiable offline.

✓

Advanced compression and cost savings

Tool results are shrunk before they reach the agent, automatically, so you spend fewer tokens with no configuration.

Govern the agents your teams already use, under one policy. Claude, Cursor, ChatGPT, and any MCP client connect through the same governed gateway.

Trust and compliance

Built for the buying committee that has to sign off.

The controls security, IT, and compliance expect, so adopting AI never means giving up control.

Mapped to the frameworks

One audit trail and evidence you can map to SOC 2, ISO 42001, the EU AI Act, and NIST AI RMF. Answer "how do you govern AI" with proof, not a promise.

Tamper-evident by design

Every enforcement record is hash-chained to its predecessor and verifiable offline. Any alteration breaks the chain and names the exact record.

Managed models, tokens at cost

Co-workers run on managed models. CortexHub runs inference and bills tokens straight through at cost, no markup, with a full per-model breakdown.

Isolated per organization

Policy, credentials, audit, and usage are a hard boundary per organization. One team's data is never reachable from another's context.

Identity attribution

Your agent acts on your behalf. The accountability follows.

AI agents work for people. CortexHub makes that chain explicit: every tool call is attributed to the user the agent is acting for, not just the agent itself. The same policy that applies to a person applies to their agent. When something is approved, it is approved for that person. When something is blocked, it is blocked for that person.

Your audit trail names people, not just bots. Your compliance team can answer the question "who did this?" for every action in the system.

alice@acme.com
Member · Engineering group
↓
alice's agent (Cursor)
Governed identity · Policy inherits from Alice
↓
slack_send_message
Permitted · Receipt: rcpt_01jxm3...
For the buying committee

One answer for every team that has to approve AI.

Security · CISO
Runtime control and proof.

Shadow AI is acting without oversight. CortexHub enforces one policy at the point of action, keeps credentials out of prompts, redacts sensitive data, and gives you a tamper-evident record for every call.

Security overview →
IT & Platform
One control point for every agent.

Publish one governed gateway. Every approved agent connects through it. Enable tools by team, set least privilege, and block-by-default the rest. No per-tool plumbing to build.

See how it works →
Compliance & Risk
Evidence auditors accept.

One audit trail mapped to SOC 2, ISO 42001, the EU AI Act, and NIST AI RMF. Records are hash-chained and verifiable offline, so evidence stands on its own.

Compliance posture →
Integrations

Every tool your teams use, governed the same way.

Curated toolkits ready to connect, plus your own business systems, governed from day one.

SlackSlack
GitHubGitHub
JiraJira
NotionNotion
ConfluenceConfluence
Google DriveGoogle Drive
HubSpotHubSpot
SalesforceSalesforce
LinearLinear
AirtableAirtable
AsanaAsana
ZendeskZendesk
StripeStripe
ShopifyShopify
FigmaFigma
DatadogDatadog
IntercomIntercom
PagerDutyPagerDuty
SnowflakeSnowflake
ZapierZapier
SentrySentry
DropboxDropbox
OpenAPIAny REST API you bring
How we are different

Runtime governance, plus a governed agent.

Tools that watch from above inventory and score your AI, but they do not sit in the path of a call. Automation platforms lead with workflow and add governance later. CortexHub governs at the point of action and gives you a governed Co-worker to deploy, under one policy and one audit trail.

✓
Runtime enforcement at the point of action

Policy evaluated before every tool call, in the path of the action, never after the fact.

✓
One policy across every agent

External agents and Co-workers answer to the same rules, vault, and audit trail.

✓
Approvals for high-risk actions

Risky calls pause for human review, then proceed or are denied. Block-by-default is the fallback.

✓
Redaction and least privilege

PII and secrets are redacted before storage. Each team reaches only what you allow.

✓
Tamper-evident audit trail

Records are hash-chained and verifiable offline, so evidence stands on its own.

✓
A governed agent to deploy

An AI Co-worker with a Brain, on the same policy, not just a view of the AI you already have.

✓
Mapped to the frameworks

One audit trail and evidence you can map to SOC 2, ISO 42001, the EU AI Act, and NIST AI RMF.

✓
Cost savings built in

Advanced compression shrinks tool results before they reach the agent, automatically, so you spend fewer tokens with no configuration.

FAQ

Common questions

CortexHub is the governance, control, and security layer for AI agents. It governs the AI tools your teams already use (Claude, Cursor, ChatGPT, and more) at the MCP gateway, enforcing one policy at runtime on every tool call. You can also deploy governed AI Co-workers with a Brain that learns the business, under the same policy and the same audit trail.
Registry and GRC tools govern from above: they inventory and score your AI, but they do not sit in the path of a tool call and give you nothing to work with. CortexHub governs at the point of action, enforcing policy at runtime on every call, and also gives you a governed agent to deploy. Runtime enforcement plus a governed Co-worker, not a scorecard.
CortexHub Brain is what makes our governed Co-workers different. It is a single living map of your work: the people, projects, conversations, documents, preferences, and lessons your Co-worker learns. It grows from everyday work, keeps one canonical record of each person and project (so "the migration" and "Q3 Migration" are the same thing, not duplicates), remembers what matters, and corrects itself when things change. You can see it, explore it by People, Projects, Conversations, or a graph view, and correct it: pin what matters, retract what is wrong, merge duplicates. It is governed by the same policy as every other agent, and you can audit what it knows.
Yes. Upload files to Organization Files and each member's Co-worker searches the same shared library, scoped to what that member may see, with organization isolation and audit on every search. Files are the Co-worker's own internal knowledge, so external MCP agents that reach your tools through the gateway never touch them.
Organization admins upload or replace documents in CortexHub Cloud and re-index when content changes. Co-workers also build one Brain over time from everyday conversations, keeping a single canonical record and correcting it as things change. Both company and personal knowledge stay scoped to the member and isolated to your organization.
No. Teams keep the clients they already use. CortexHub adds runtime governance and a complete audit trail at the MCP gateway, so the same policy applies whether the call comes from an external agent or a Co-worker.
Co-workers run in CortexHub Cloud on managed models. CortexHub runs inference for you and bills the tokens straight through at cost, with no markup and nothing to configure. External agents keep running wherever they run today; CortexHub adds governance and audit at the point of action.
Yes. Connect the business tools your teams already use, plus custom integrations, under the same policy and audit trail as everything else.
The agent receives a clear response explaining the action was blocked by policy. Nothing runs. The attempt is recorded in the audit trail. Your security team can see exactly what was tried, by whom, and when. The default is block-by-default: calls with no matching policy are denied.
Actions you mark as requiring approval are paused before they run. End users confirm in the MCP host prompt, or configured reviewers decide in the Approvals inbox. CortexHub also supports outbound webhooks so approval requests can route through your existing tools.
CortexHub produces one audit trail and evidence you can map to SOC 2, ISO 42001, the EU AI Act, and NIST AI RMF. Records are tamper-evident and hash-chained, so an auditor can verify nothing was changed after the fact, offline from an export alone.

Start governing today

Govern your first agent in minutes.

Tell us what you want to govern and we will help you choose the right first workflow.

For the enterprise

See it govern your agents.

Book a demo for a walkthrough of runtime governance, the audit trail, and governed agent workflows. We will tailor the walkthrough to your tools, policies, and security requirements.