Your Team Already Uses AI.
Can You Prove It's Safe?
Verus builds your Private AI Governance solution: complete protection for your company data while your team gets powerful, compliant AI tools. It starts with a 30-minute Private AI Risk Review with a senior consultant.
- Which AI tools your team is likely using today, and where that data goes
- Where that creates compliance and cyber-insurance exposure for your industry
- What a private, governed setup looks like, so people keep using AI safely
▸ Fixed scope. No obligation. You leave with a one-page action plan either way.
Book Your Private AI Risk Review
Pick a time with a senior Verus consultant. Not a sales rep reading a script.
Your information stays confidential. We never share, sell, or market to your list.
Three years ago, a phishing email had tells. Bad grammar. Clumsy urgency. A sender address one letter wrong. Your team learned to spot them, and for a while, that was enough. Then generative AI erased the tells. Flawless, personalized lures at scale. Cloned voices requesting wire transfers. Automated tools mapping your weaknesses around the clock. The cost of a convincing attack collapsed.
And there is a second exposure, one that arrived without a purchase order: every time your team uses ChatGPT, Copilot, or any public AI tool, sensitive company data can leave your control. MIT's NANDA initiative reported in 2025 that roughly 95 percent of enterprise AI pilots delivered no measurable P&L impact, while employees at the overwhelming majority of surveyed firms used personal AI tools regardless of policy. Compliance teams are worried. Legal is concerned. Most cyber policies were not written with these tools in mind, and the "insurance gap" for AI usage is growing every day.
You are being squeezed from both sides: the attacks got smarter, and your own AI usage got riskier. This page covers how Verus closes both, and the 30-minute review that maps where you stand.
Source: "The GenAI Divide: State of AI in Business 2025," MIT NANDA initiative. Link the primary report PDF before launch and verify the shadow-AI figure against it. Methodology has been publicly debated; keep the citation precise.
Attackers have AI now. Here are the facts.
Machine-written phishing
Individualized lures at scale: correct names, real projects, your vendors' tone. Filters tuned to bad grammar miss them.
Voice cloning & wire fraud
Minutes of public audio can imitate an executive on a call. The ask is always the same: a wire transfer or a banking change.
Automated reconnaissance
Continuous scans of exposed systems, leaked credentials, and public employee data. A soft perimeter selects itself as a target.
Public AI is putting your company at risk.
Every time your team uses a public AI tool, three things can go wrong.
Data Leakage
Sensitive files and customer data sent to third-party servers with unknown retention and training practices.
Compliance Risks
GDPR, HIPAA, SOC 2, and industry regulations violated by ungoverned AI usage nobody signed off on.
No Visibility
No audit trail and no governance controls over AI usage. If an auditor or insurer asks, there is no answer to give.
You are exposed from two directions: the AI attackers use, and the AI your team already uses. One partner closes both.
Verus delivers true Private AI Governance.
Your data. Your rules. Your secure AI environment.
Private AI Environment
Fully isolated AI instances hosted in your secure cloud or on-premise environment. Your data never trains someone else's model.
Enterprise Governance Controls
Custom policies, approval workflows, audit logs, and usage restrictions. Every AI interaction is logged, classified, and reviewable.
Secure & Compliant AI
Works the way your team already expects AI to work, but 100 percent private and fully compliant with your security standards.
And the attacker side is covered by the same engagement: cybersecurity compliance, multi-factor authentication, phishing exercises, penetration testing, risk assessment, and payment-verification protocols that assume voices can be faked. Defense with AI and defense against AI, under one roof.
One Partner for AI, Cybersecurity & IT.
Senior-led since 2002. Powerful AI without sacrificing security or compliance. Your company secrets stay secret.
The 30-Minute Private AI Risk Review.
Not a demo. Not a pitch deck. A working session with a senior consultant, following the Assess step of our A.A.I.M. method.
The agenda
- Map which AI tools your team is likely using today, and where that data goes
- Identify where that creates regulatory and cyber-insurance exposure for your industry
- Sketch what a private, governed AI setup looks like for your environment
Who should attend
- The leader accountable for the risk: owner, CEO, COO, or CFO
- Your IT lead or IT partner contact, if you have one
- Compliance or legal, optional but useful in regulated industries
What you leave with
- A one-page action plan, in plain English, yours to keep
- A straight answer on whether your exposure justifies an engagement
- No obligation. If the plan says you are fine, that is the answer you get
What clients say about working with Verus.
Our pipeline operations demand ironclad cybersecurity. Verus provided a tailored cloud security solution.
CTO, Energy Pipeline Solutions
Due to a lack of trust in our previous provider and out of touch skillset, we chose to switch to Verus.
Director of IT, Law Firm
Verus is dedicated to our cybersecurity needs. Their team has provided exceptional IT support.
Executive Director, Senior Living Community
Named artifacts, not vibes.
A full engagement produces documents you can hold, show an auditor, or hand to your insurance carrier.
Exposure findings report
Written assessment across identity, email, endpoint, and AI usage, with prioritized fixes in plain English.
Private AI environment plan
The architecture for your isolated AI instance: where it runs, what it connects to, and how your data stays yours.
Governance controls & audit trail
Policies, approval workflows, usage restrictions, and logging configured so every AI interaction is reviewable.
AI acceptable-use policy
A workable policy for employee AI use, matched with controls, so shadow AI becomes governed practice instead of a blind spot.
Payment verification protocol
An out-of-band callback procedure for wires and banking changes, built on the assumption that voices and emails can be faked.
Training, reporting, and review
Awareness training with AI-era lures, monthly reporting on what was found and fixed, and a quarterly review with your team.
This works best for some companies. Honestly, not all.
A strong fit if you are
- A mid-sized company with real data worth protecting
- In a regulated or trust-dependent industry: healthcare, finance, insurance, legal, manufacturing
- Aware your team already uses AI and wanting that governed, not banned into the shadows
- Looking for accountable humans plus modern tooling, under one roof
- Willing to grant the access a security partner genuinely needs
Probably not a fit if you want
- A $99 tool subscription and no operational relationship
- A silver bullet that removes the need for any internal attention
- Security theater for a compliance checkbox with no intent to fix findings
- A vendor who will promise that nothing will ever get through
Asked by every serious buyer.
A senior consultant walks the three agenda items above with you: likely AI usage and data flow, where that creates exposure for your industry, and what a governed setup would look like. You leave with a one-page action plan whether or not you ever work with us. If your exposure is low, the plan says so.
That is the point of private AI governance: your team keeps powerful AI tools that work the way they expect, inside an environment that is isolated, policy-controlled, and fully logged. Usage becomes governed instead of forbidden, which is the only version of an AI policy employees actually follow.
You get this answer in writing before any engagement: where your AI instance runs, where data is processed and stored, retention periods, and what your data is never used for. In a private environment, your data does not train public models. Specific platform details are confirmed during scoping, in writing.
A policy is step one. The gap is usually visibility: can you see whether people follow it? Governance adds the controls and the audit trail, so when an auditor, insurer, or client asks how AI is managed in your business, you have a report instead of a document nobody can verify.
Most bans push usage onto personal phones and personal accounts, where you have even less visibility than before. The practical fix is a private, governed alternative that is as easy to use as the tool you banned. People follow the path of least resistance; governance works when the safe path is also the easy one.
No. Mid-sized companies face the same AI-scaled attacks and the same compliance rules with a fraction of the internal staff. This engagement exists so a mid-sized company gets enterprise-grade AI governance and security without building a department.
You keep the documentation: findings reports, policies, governance configurations, and runbooks. Offboarding follows a written handover so your next provider or internal team inherits an organized environment. We would rather earn renewals than engineer lock-in.
The Risk Review is free and fixed scope. Engagements are flat monthly pricing scoped to your environment and user count, defined in writing; project work, like the initial private AI environment buildout, is quoted separately. Exact figures are set during scoping.
Start with evidence, not a contract.
Ungoverned public AI, a tool-only vendor, or governed AI with an accountable team.
Here is what you are choosing between:
Row by row, where each path leaves you.
| Verus | Others | No Protection | |
|---|---|---|---|
| Private AI environmentIsolated instances; your data never trains public models | ✓ Included | Varies | ✕ |
| Audit trail of every AI interactionLogged, classified, reviewable | ✓ Included | Varies | ✕ |
| Governance policies & approval workflowsWho can use AI for what, enforced | ✓ Included | Varies | ✕ |
| Compliance alignmentGDPR, HIPAA, SOC 2, industry rules | ✓ Included | Varies | ✕ |
| Defense against AI-powered attacksPhishing training, MFA, payment verification protocol | ✓ Included | Tool only | ✕ |
| Accountable humans, one senior-led teamNamed escalation path, operating since 2002 | ✓ Included | Rarely | ✕ |
| Documentation yours to keepPolicies, findings, and configs stay with you if you leave | ✓ Included | Rarely | ✕ |
| 30-minute Risk Review before any contractSenior consultant, one-page action plan, yours to keep | ✓ Free | Rarely | ✕ |
The Risk Review is free, fixed scope, and carries no obligation. The one-page action plan is yours regardless of whether an engagement follows.
Before you go, two things.
Not ready to talk to anyone? Take the 5-minute AI Maturity Assessment and get a scored report on where your company sits on AI use and governance. No call required.
And if you take one action from this page without contacting us, make it this: put a documented callback protocol on every banking-change and wire request today. It is free, and it defeats the voice-clone attack outright.
Your company secrets stay secret.
Book the free 30-minute Private AI Risk Review. One page of findings, yours to keep.