Is Shadow AI
leaking your client data?
When staff paste client documents, financial records, or privileged communications into ChatGPT, Copilot, or Gemini — that data can leave your firm silently. No breach alert. No audit trail. No way to know it happened. AMP IT builds the policies, controls, and private AI environments that let you capture AI's productivity benefits without the liability.
Four ways Shadow AI
puts your business at risk.
Shadow AI doesn't look like a hack. It looks like a productive employee solving a problem. That's exactly what makes it difficult to detect — and difficult to defend against without the right governance framework in place.
Unmanaged AI tool usage across your team.
Employees are using ChatGPT, Gemini, Copilot, Claude, Perplexity, and dozens of other AI tools — at their desk, on their phone, from their personal accounts. Most IT teams have no visibility into which tools are in use, which data is being submitted, or whether data retention is enabled on those platforms. By the time a problem surfaces, data has been outside the firm for months.
No policy. No documentation. No defense.
If your firm doesn't have a written AI Acceptable Use Policy, you have no way to demonstrate due diligence to a malpractice carrier, a regulatory auditor, or a client whose information was mishandled. "We didn't know they were using it" is not a legal defense. A documented governance program with signed employee acknowledgments is the foundation of any AI risk management posture.
The risk is already inside your firm.
This isn't a future threat. The average knowledge worker has already used an AI tool on work-related content. In a firm of 10 employees, statistically 7–8 of them are already using AI regularly. Without controls, the only question is whether sensitive content has already been submitted to a public model. Our Shadow AI assessment tells you exactly where you stand today.
Regulators and insurers are catching up fast.
FINRA, the SEC, and state bar associations are actively issuing AI guidance. Cyber insurance carriers are adding AI governance questions to renewal applications. Malpractice carriers are watching. Firms that have documented AI policies and technical controls will be in a far better position than those who address it reactively — after an incident or after a renewal is denied.
Which industries face the highest exposure.
Any business handling confidential client data is at risk. These three industries face the most acute regulatory and liability exposure.
Law Firms & Legal Practices
Attorney-client privilege doesn't extend to public AI platforms. When privileged communications leave the firm — even unintentionally — the privilege may be waived.
- Drafting demand letters with client facts submitted to ChatGPT
- Summarizing deposition transcripts in a public AI tool
- Using AI to research strategy with case-specific details
- State bar ethics rules increasingly address AI use
Financial Advisors & CPA Firms
FINRA, SEC, and the FTC Safeguards Rule all impose data protection requirements. AI tool usage that exposes client financial data can trigger supervisory and compliance failures.
- Generating client reports with account data as AI input
- Asking AI to analyze confidential tax documents
- Using public AI for estate planning or investment analysis
- SEC examiners asking about technology controls and AI use
Insurance Agencies
Your carriers require documented security controls. Your E&O coverage may not respond to an incident caused by unauthorized AI tool usage without a written policy in place.
- Submitting client applications to AI for summary or analysis
- Using AI to draft coverage recommendations with PII input
- Carrier audits now include technology and data governance review
- State insurance regulators issuing AI use guidance
A complete AI governance program for your firm.
Not a one-time policy document — an ongoing governance framework with technical controls, documentation, and a private AI option that keeps your data inside your infrastructure.
Shadow AI Risk Assessment
We audit which AI tools your team is already using — web, mobile, browser extensions, and embedded apps — and assess what data has been submitted. You get a clear picture of current exposure before we build controls.
AI Acceptable Use Policy
A written policy tailored to your industry's regulatory requirements — not a generic template. Covers approved tools, prohibited use cases, client data handling rules, and employee acknowledgment requirements. Reviewable by your malpractice or cyber carrier.
Private AI Deployment
For firms that want to use AI without any data leaving their infrastructure, we deploy a private AI environment on your own servers or a dedicated cloud instance. Full AI capability — no public model exposure. Data stays inside your firm, period.
Employee Training
Practical training that teaches your team what they can and can't use AI for, how to identify risk scenarios before they submit data, and what to do if they suspect a data exposure. Training includes completion tracking for your compliance documentation.
Compliance Documentation
A documentation package you can hand to your cyber insurance carrier, malpractice insurer, or regulatory auditor. Demonstrates due diligence: written policy, employee training records, technical controls list, and incident response procedures for AI-related events.
Ongoing Governance Reviews
AI tools and regulations evolve quickly. We conduct quarterly reviews of your AI governance program — updating approved tool lists, revising policies as new regulatory guidance is issued, and assessing new tools your team wants to adopt. Governance isn't a one-time event.
Your own AI assistant.
Your data never leaves.
Public AI tools are powerful — but they're built on a model where your inputs can be used to improve the AI, stored on third-party servers, and potentially reviewed by vendor staff. For law firms, financial advisors, and insurance agencies, that's not an acceptable tradeoff.
Private AI gives your team a capable AI assistant — document summarization, drafting, research, analysis — deployed on infrastructure you control. No public model. No external data transmission. No retention policy you didn't write.
We handle the deployment, configuration, security hardening, and ongoing updates. Your team gets a productivity tool. You get the documentation that proves your client data stayed inside the firm.
Talk to us about private AI for your firm →From risk assessment to governed AI use
in four steps.
Shadow AI Assessment
We audit current AI tool usage across your team — what's being used, on what devices, with what data. You get a written risk report with specific findings and recommendations.
Policy Development
We draft your AI Acceptable Use Policy tailored to your industry's regulatory requirements. Reviews your approved tool list, prohibited scenarios, and data handling rules. Employee sign-off process included.
Technical Controls
Deploy appropriate technical controls — from content filtering and browser restrictions to a full private AI deployment. Controls are calibrated to your risk profile and team workflow.
Training & Ongoing Governance
Employee training with completion tracking. Quarterly governance reviews to update policies as AI tools and regulations evolve. Documentation package for insurance and compliance purposes.
AI governance questions, answered.
What is shadow AI and why is it a risk?
Shadow AI refers to employees using public AI tools — ChatGPT, Google Gemini, Microsoft Copilot, and others — without oversight, approval, or governance controls. When a staff member pastes a client document, email thread, or financial record into a public AI model, that content can be stored, used for training, or accessed by third parties. There is no breach notification requirement, no audit trail, and often no way to know it happened. For regulated industries, this creates significant liability.
Are my employees really using AI at work without permission?
Almost certainly. A 2024 Microsoft survey found that 78% of knowledge workers use AI tools at work — and 52% of them are using personal AI tools that aren't provided by their employer. The instinct to use AI to work faster is natural and rational. The problem is when that productivity comes at the cost of exposing confidential client data, privileged communications, or regulated financial records to public AI systems.
What does an AI governance program include?
AMP IT's AI governance program includes a shadow AI risk assessment (identifying which tools your team is already using), a written Acceptable Use Policy tailored to your industry's regulatory requirements, optional private AI deployment (an AI environment that keeps all data inside your own infrastructure), employee training on appropriate AI use, and ongoing documentation you can provide to malpractice carriers, compliance auditors, and cyber insurers.
What is private AI and how does it work?
Private AI means deploying an AI assistant on infrastructure that you control — either your own servers or a private cloud environment — so that conversations, documents, and queries never leave your network. Employees get the productivity benefits of AI without any data leaving the firm. We handle the deployment, configuration, and ongoing management so your team can use it without technical overhead.
Does AI governance help with cyber insurance or compliance requirements?
Yes. Cyber insurers are beginning to ask specifically about AI tool usage in renewal questionnaires. Regulators in financial services (FINRA, SEC) and healthcare are issuing guidance on AI governance. Law firms face malpractice exposure if client-privileged communications are exposed through AI tools. Having a written AI policy, documented training, and technical controls demonstrates due diligence — and can directly affect your insurability and rates.
Which industries need AI governance most urgently?
Law firms (attorney-client privilege), financial advisors and CPA firms (FINRA/SEC/IRS Safeguards Rule), and insurance agencies (carrier cybersecurity requirements) face the most acute risk. But any business that handles confidential client data — personal financial information, trade secrets, or private communications — needs an AI acceptable use policy before an incident, not after.
Find out if Shadow AI
is already inside your firm.
Book a free AI governance assessment for your Charlotte business. We'll identify the tools your team is already using, assess your current exposure, and show you what a governance program looks like — no commitment.