NetworkDefender
NetworkDefender
Guardrails first, then something genuinely useful. We find where AI is already leaking your client data, put controls around it, and then build the part that actually saves your team hours.
The question is whether it's a tool your business chose. Staff reach for whatever works, through personal accounts nobody approved, and every paste is a disclosure you're still answerable for.
Sources: U.S. Chamber of Commerce & Teneo (2025) ยท TELUS Digital (Jan 2025)
Most AI advice is either "ban it" or "embrace it." Neither is a plan. This is the order we actually work in.
A scan of which AI tools your team is already using and from which accounts. Nothing gets fixed while shadow AI stays invisible, and almost every business is surprised by at least one item on the list.
A two-page acceptable-use policy, an approved tool list naming the specific business-tier tools staff may use, and one prompt rule people can actually remember. Free and personal accounts go off-limits for anything client-related.
Microsoft 365 and Google Workspace ship enterprise AI protections most businesses never enable. We confirm training is off, apply sensitivity labels and DLP rules, put AI tools behind single sign-on and MFA, and fix the file permissions before pointing an assistant at them.
Policies drift the day after you write them. AI Shield keeps detecting new tools and blocking sensitive data on its way to a public model, in the same console as the rest of your security.
Once the guardrails hold, AI is worth leaning on. We connect the tools you already run, pull them into one governed store, and put a single question box on top of it.
Nobody hacks you to get this data. An employee hands it over trying to work faster. AI Shield sits between your team and the public models, and it reports into the same console as everything else we monitor.
Continuous visibility into which AI tools are in use and from which accounts, so new ones surface the week they appear.
Data-loss rules catch client names next to account numbers, health information, and privileged material before they reach a public model.
The four questions every AI vendor should answer, asked and filed: do you train on our data, how long do you keep it, who are your subprocessors, will you sign a DPA or BAA.
ai shield · console
There's no broad Wisconsin statute governing business AI use. The rules that bind you are the ones you already answer to.
If unencrypted personal information is acquired by someone unauthorized, you notify affected people within 45 days. Paste a client name next to an account or Social Security number into a consumer tool that retains it, and there's a real argument an unauthorized disclosure just happened.
The Safeguards Rule treats an AI vendor like any other service provider: written contract, risk assessment, and an inventory of where customer data goes. The moment client data enters an AI tool, that tool belongs in all three.
WIDS requires due diligence on and oversight of any third party handling nonpublic information, and an AI vendor is squarely one. It also runs a much tighter clock: three business days to notify the OCI after a breach.
Confidentiality requires reasonable efforts to prevent unauthorized disclosure; competence expects you to understand the tools you use. ABA Formal Opinion 512 is direct: evaluate whether client information could be exposed before putting it into a self-learning tool.
One thread runs through all of it. Every rule asks the same four things: know where your data goes, choose vendors on purpose, write down why, and move fast when something slips. We wrote the long version in How Wisconsin Firms Can Use AI Without Leaking Client or Company Data.
Most businesses start with readiness, add the guardrails, and only then decide whether the build is worth it.
A scan of what AI tools are already in use, an honest conversation about the risk, and the paperwork to get ahead of it.
Protects sensitive business and client information from being shared through unapproved AI tools. We monitor AI usage, enforce data controls, and evaluate new tools before they introduce risk.
We connect the tools you already run, pull them into one governed store, and put a single question box on top of it.
Tell us how your team works and we'll put together the right starting point. No obligation, no jargon, and no pitch to rip out the tools you like.