How to Combat Shadow AI
Somewhere in your organization right now, someone is using AI. You might already know it, and if you don’t, we are here to shed light on it. An employee or teammate could be using...
Find out what is already happening, decide where AI actually creates value, write the policy that governs it, and train every seat.
AI regulations, tools, and organizational needs continue to change. Your governance framework should be designed to change with them. After all, policy works best when written against what your organization is actually doing.
Haven't established that yet? A Shadow AI Audit is a great starting point that gives a policy something concrete to govern.
Review your current policies, AI usage, regulatory requirements, and organizational risk to identify governance gaps and priorities.
Develop customized policies, guidelines, roles, and controls aligned with your organization and its risk profile.
Support rollout and keep your framework current through ongoing reviews, regulatory updates, policy adjustments, and guidance as new AI tools and risks emerge.
Every organization we assess finds more AI use than leadership expects. That's not a discipline problem. It's what happens when useful tools are one browser tab away, and policy hasn't caught up.
The goal isn't to punish AI use. It's to make it visible, understood, and governed.
What we look at:
What you receive:
AI shouldn't be about adopting every new tool. It should be about solving the right problems.
NetCov's AI Opportunity Assessment takes a structured look at your workflows, systems, and data to find where AI can deliver real business value.
The assessment includes:
The result is a practical roadmap for investing in AI with clarity and confidence.
Develop a firm-specific AI governance framework built around how your organization actually uses technology.
NetCov starts with a current-state assessment and a review of the regulatory landscape, then creates practical policies and guidelines your employees and leaders can understand, implement, and maintain.
Our framework can include:
The result is a practical, enforceable framework: clear expectations for employees, greater visibility and control over AI risk for leadership.
AI is becoming part of everyday work, but employees need to understand both its potential and its risks. Our AI Foundations Training gives everyone, from executives to front-line teams, a practical AI introduction.
Training covers:
The engagement concludes with a detailed recap document: key takeaways plus actionable guidance employees can reference as they start using AI.
Every organization we assess finds more AI use than leadership expects. That's not a discipline problem. It's what happens when useful tools are one browser tab away, and policy hasn't caught up.
The goal isn't to punish AI use. It's to make it visible, understood, and governed.
What we look at:
What you receive:
AI shouldn't be about adopting every new tool. It should be about solving the right problems.
NetCov's AI Opportunity Assessment takes a structured look at your workflows, systems, and data to find where AI can deliver real business value.
The assessment includes:
Develop a firm-specific AI governance framework built around how your organization actually uses technology.
NetCov starts with a current-state assessment and a review of the regulatory landscape, then creates practical policies and guidelines your employees and leaders can understand, implement, and maintain.
Our framework can include:
AI is becoming part of everyday work, but employees need to understand both its potential and its risks. Our AI Foundations Training gives everyone, from executives to front-line teams, a practical AI introduction.
Training covers:
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After this review, you'll receive a detailed report with tool inventory, risk rankings, gaps within your policy that we have identified, and recommended controls.
Yes, NetCov offers AI Foundations Training. This training covers:
Core AI concepts and terminology
Public AI tools vs. enterprise AI solutions
How prompts and data are handled
Cybersecurity and data privacy risks
Responsible AI use in the workplace
AI governance and organizational policies
Practical guidance for using AI safely and effectively