Do we have to block AI tools to govern them?

Rarely, and it usually backfires — blocking drives usage onto personal accounts and personal devices, where you lose visibility entirely. The goal is a sanctioned path that is good enough that people use it, backed by policy that says clearly what may and may not go into which systems.

How do you find AI usage nobody reported?

Through the systems that already see it: identity and access logs, network and egress data, endpoint and browser telemetry, expense records, and structured conversations with teams. Most organizations are surprised by the breadth rather than the existence of it.

Is this the same as an AI ethics review?

No. Ethics and fairness review is a different discipline, focused on model behavior and impact. This work is security and governance: what tools are in use, what data reaches them, who approved it, what the vendor does with it, and how that maps to your obligations.

Solution Area

AI Governance & Security

Enable AI adoption without losing control

Bring visibility, policy, and control to how your organization actually uses AI — before shadow AI, ungoverned tools, or unmanaged risk get ahead of you.

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The Problem

What we’re seeing in organizations like yours

Shadow AI

Teams adopt public AI tools faster than security can review them, leaving no record of what is in use or who approved it.

Sensitive data in prompts

Regulated, proprietary, or client information gets pasted into systems that may retain or train on it.

No acceptable-use policy

Guidance is missing or inconsistent across departments, so employees are left to set their own boundaries.

Unassessed third-party AI

Vendors add AI features to existing products, changing your risk profile without a new procurement review.

No AI inventory

Nobody can answer which models, tools, and integrations are in production, or what data each one touches.

Regulatory exposure

Obligations tied to AI use are evolving, and uncontrolled adoption makes future requirements harder to meet.

By the numbers

Why ai governance is on the CIO agenda

45%
of employees regularly use AI on corporate devices: 67%
of shadow-AI users are on non-corporate accounts: 28%
of data sent to external AI models was source code

Verizon 2026 Data Breach Investigations Report

Cyber Constant’s Approach

A vendor-neutral, outcome-focused path forward

Establish visibility

Determine where and how AI is actually being used across the organization — including tools that were never formally approved.

Define governance

Develop AI acceptable-use policy and a governance structure suited to your risk posture and regulatory context.

Assess AI and vendor risk

Evaluate AI applications and third-party AI capabilities against your own requirements, not the vendor's marketing.

Build an AI inventory

Create a practical inventory and risk-scoring approach your team can actually maintain as adoption grows.

Connect to existing programs

Tie AI governance into the security, data protection, and compliance programs you already run, rather than standing up a parallel one.

Ways to Engage

Start where it makes sense for you

Each engagement maps to a point in the buyer journey — evaluate before you commit, or go straight to delivery.

Evaluate

AI Governance Readiness Assessment

A structured review of your current AI posture, producing a prioritized gap list and a roadmap.

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Evaluate

Enterprise AI Risk Review

Risk assessment across the AI tools, models, and integrations already operating in your environment.

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Evaluate

AI Usage Evaluation

Discovery of actual AI usage across teams, including unsanctioned tools, to establish a baseline.

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Engage

AI Policy Development

Acceptable-use policy and supporting standards written for your organization and its obligations.

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Engage

AI Governance Strategy

A longer-term governance operating model covering ownership, review cadence, and escalation.

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Business Outcome

Move from uncontrolled AI adoption to secure, governed AI use — with policy, visibility, and accountability in place.

Questions

Common questions about ai governance

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Ready to talk through ai governance & security?

Start with a conversation, not a sales pitch. We'll help you understand the risk before recommending an engagement.

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