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← The six dimensions

Governance & security

Protect the work.
Keep what matters.

Give AI clear boundaries, keep what it helps create, and make sure someone owns what happens next.

What this means for your business
The control path
  1. Information entersClassify

    What may be used?

  2. Access is grantedAuthorize

    Who may use it?

  3. Work becomes actionBound

    What may it do?

  4. Knowledge remainsRetain

    What should we keep?

Identity · Policy · Human review

Clear controls at every step.

Why it matters

Every AI tool widens the attack surface.

A car dealer’s chatbot once agreed to sell a new SUV for one dollar. Each AI tool, agent and integration is new software with access to your business. It needs the same protection as anything else you run, and the responsibility for what it does stays with you, not the vendor.

Guardrails also keep what AI helps create. The prompts, drafts and know-how your people build on company time belong to the business. Without governance, they sit in personal accounts and unapproved tools, and they leave when people do.

A new kind of user

Agents need identities too.

An agent that can read the CRM, send email or trigger a payment needs what any employee gets: its own identity, the least access that does the job, a record of everything it did, and someone who can switch it off.

Who can act in your systems
PeopleSingle sign-onMulti-factorAccess by role
Service accountsScoped keysRotatedOwned
AI agentsOwn identityLeast privilegeWalled off from what it doesn’t needEvery action loggedPerson approves what mattersOne switch to turn it off

What good looks like

Signs the guardrails hold.

You know what AI is running.

Every tool and agent in use, approved or not, with an owner. No quiet sprawl.

A steering group owns the rules.

Business, IT, security and legal decide what’s allowed, track the return, and map it to frameworks like the NIST AI Risk Management Framework or ISO 42001.

Guardrails check what goes in and what comes out.

Prompts are screened for manipulation and off-policy requests. Answers are screened for private data before anyone sees them.

Someone owns the response.

Alerts reach a team that can revoke access, isolate a system or pause an agent. Recovery is tested before it’s needed.

Governance & security

What to evaluate

The protection that keeps the business safe, and the controls that let people use AI with confidence. See the full architecture

Cybersecurity

From policy and compliance to around-the-clock detection and response, sized to your team.

We ask: Who is watching at 2 a.m., and what can they do without waiting for us?

vCISO & policyCompliance testingManaged firewallMDR / XDRSIEM & monitoringAPI discovery & protectionMicrosegmentation

AI governance and security controls

Policy, controls and monitoring for the AI tools your people use, approved or not.

We ask: Do you know which AI tools our people used this week, and what company data went into them?

AI governance & strategyAI gatewayAI firewallBrowser-level AI visibilityData loss preventionData masking

Identity, data and recovery

Access for people, service accounts and agents, sensitive data found and protected, and recovery you’ve tested.

We ask: How does an AI agent get its own identity, and how fast can we revoke it?

Privileged accessNon-human identityData security postureBackup & recovery

The larger picture

Every dimension connects.

Back to all six dimensions ↗

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