Fully-Managed
We run it end to end. We deploy, baseline your environment, design and tune policy with you, review findings, apply approved controls, and keep it current. You get the outcomes and the reporting.
Guardian AI Security
Safe AI starts with seeing what's already running in your business.
Your team is using AI in more places than anyone realizes. We help you see all of it, decide what's allowed, and keep it governed as adoption grows, so you can put AI to work without losing control of it.
A clear picture of the AI in your environment, and a plan for what to do about it.
AI moved into your business ahead of the rules around it
Two years ago, AI at work meant one browser tab and one chatbot. Today it's installed on laptops, built into tools you already pay for, writing code, drafting email, and reaching into the systems you run on. Most of it arrived without anyone approving it, and much of it runs on personal accounts.
The data backs this up. Verizon's 2026 Data Breach Investigations Report found that 45% of employees are now regular AI users on company devices, up from 15% a year earlier, and that roughly two-thirds of them reach AI through personal accounts rather than company-managed ones. Gartner expects up to 40% of enterprise applications to include task-specific AI agents by the end of 2026, up from less than 5% in 2025, which means AI is shifting from answering questions to taking action inside business systems.
None of this means anything went wrong. A whole category of technology arrived ahead of the controls designed to govern it, and every business is in the same position. The encouraging part is that it's measurable. AI leaves a trail on the devices where it runs, so once you can see it, you can secure it.
AI in 2024
- One browser tab, one chatbot
- Answered questions
- A single approved tool
- A written policy could cover it
AI in 2026
- Desktop apps, coding assistants, agents
- Takes action inside business systems
- Personal accounts, unreviewed tools
- Policy alone can't see it, or stop it
Managed AI security and governance
This is an ongoing service, not a one-time scan. We discover the AI running across your organization, help you set sensible rules for it, put controls in place on the tools that support them, and keep watching as your team adopts more. You get evidence instead of guesswork, a clear set of decisions about what's allowed, and a team that keeps the whole thing current.
We've been a cybersecurity firm since 2010, so we treat AI as a security surface to govern, not just another app to switch on and hope for the best.
See it
A clear picture of the AI tools, accounts, and connections in use across your supported company-managed computers.
Govern it
Clear policies about what's permitted, backed by real controls on the tools that support them.
Keep it current
Ongoing monitoring and reporting as AI usage changes month to month.
It starts with an AI Risk Assessment
Before any decisions, you need an honest picture of what's actually happening. The AI Risk Assessment observes the AI running across your company-managed computers and turns it into something you can act on: what's in use, who's using it, what it can reach, and where the risk is.
Nothing is blocked or changed during the assessment. It watches and reports, so you can see the full picture before anyone decides what to do about it. An initial inventory arrives quickly, and we observe normal activity for a window we set with you, commonly one to two weeks and up to about four.
What the assessment shows you
On supported tools and company-managed computers, here's what comes back.
- The AI tools in use, and how each one runs, whether in the browser, as a desktop app like ChatGPT or Claude, as a coding assistant like GitHub Copilot or Cursor, or as a model running locally on the machine.
- Which tools are reached through personal accounts instead of company ones.
- Where sign-ins skip multi-factor authentication, and where settings let your conversations train someone else's model.
- Which AI tools and connections can take action inside your systems, and what they're allowed to read, write, or delete.
- Where sensitive information like credentials or personal data shows up in AI activity, on the tools where that detection is supported.
- The specific people and devices behind each finding, so nothing stays vague.
Findings are only useful if someone acts on them
That's the service.
- We review the results with you, in plain business terms for leadership and full technical detail for your IT team.
- Together we decide what's allowed, what's restricted, and what needs to change.
- We put controls in place on the tools that support them: warn someone before a risky action, keep company tools on company accounts, stop a destructive action before it runs.
- We keep monitoring, because your team adopts new AI every month.
- You get reporting you can actually use, for leadership, for audits, and for planning.
When something risky turns up, you get prioritized recommendations and, with your approval, policy-based controls. The significant enforcement decisions stay yours.
Choose how much of it we run for you
Every business sits somewhere different on AI, and on the capacity to manage it. So we deliver the service three ways, and we size it to what you actually need.
Co-Managed
Your IT team and ours share the work. We set direction and handle the heavy lifting, and your people stay hands-on where that makes sense.
Self-Managed
You operate it day to day. We stand it up, support it, and stay on call for guidance, so your team is never on its own.
No fixed packages. We start from what your business needs and build the engagement around it.
What you get out of it
- The confidence to adopt AI, because you can see and control it.
- Real protection for your company and client data.
- Fewer surprises from tools and accounts nobody reviewed.
- Evidence for leadership, insurers, and clients that you take AI seriously.
- Governance that keeps up as things change, instead of a policy sitting in a drawer.
Under the hood, for your IT team
Where the visibility comes from
A lightweight component runs on each endpoint, paired with a managed extension for Chromium browsers. It covers Windows and macOS workstations and installs through the endpoint management tools you already run. Observation happens on the device, not the network, because the context that matters doesn't exist on the wire: the prompt, which connection was used, and whether a human or an AI started an action.
This is additive. It sits alongside your existing security tools, like endpoint detection, data loss prevention, and cloud access controls, and replaces none of them. It adds the AI-specific visibility they were never built to provide.
How risk becomes a finding
Each AI tool and connection is scored against security and identity criteria. Policy sets a target for each attribute, the endpoint scores what actually exists, and when the two cross, it becomes a tracked issue tied to a specific device and user, with a severity you can prioritize against: low, medium, high, or critical.
Control that's precise, not blunt
Turning a tool off entirely pushes people back to the workarounds you're trying to prevent. Where a tool supports it, control can operate on the specific risky action instead. A delete operation inside one connection can be blocked while everything else keeps working. On tools that don't support that yet, the choice is broader, and we're clear about which is which.
Your data stays yours
- The assessment runs on company-managed computers only.
- The content of prompts and AI conversations isn't stored by default.
- Detailed logging stays off unless you deliberately turn it on.
- Credentials found on a device are never uploaded off it.
- Where sensitive findings are kept, they can be written into storage your business owns and controls.
This is about understanding business AI use and risk, not watching your employees.
A foundation you can build on
Guardian AI Security is where safe AI starts, because you can't govern what you can't see. Once you can see the whole picture and keep it governed, some teams take a further step and give their people sanctioned AI lanes to work in.
A secure AI workspace
Guardian Secure AI gives your team a governed place to use AI, with protection built in.
An AI-capable enterprise browser
Our Island Enterprise Browser brings AI controls into the browser your team already works in.
Guardian AI Security shows you everything running across desktop apps, coding tools, local models, and connections. A secure workspace or enterprise browser governs a sanctioned lane inside that picture. They work together: see and govern all of it here, then decide where a dedicated lane makes sense.
Questions we hear
We already have an AI policy. Isn't that enough?
A policy describes what should happen. This shows what's actually happening, and gives you the controls to close the gap between the two.
We already block AI websites.
Blocking websites misses the largest part of the picture: desktop apps, coding tools, personal accounts, and AI built into software you already use. Much of it never touches a website you could block.
We're not really using AI yet.
Almost every organization that believes this finds otherwise once they look. People adopt AI for writing, research, and analysis long before anyone makes it official. Verizon put regular AI use at 45% of employees in 2026, up from 15% a year earlier.
Will this get in our team's way?
No. The assessment doesn't block or change anything. The controls that come later are precise and aimed at genuinely risky actions, not everyday work.
We already have security tools and an IT team.
This adds to both. It gives your existing tools and people the AI-specific visibility they were never designed to provide.
Is this employee monitoring?
No. It runs on company-managed computers, it doesn't store prompt content by default, and it's built to govern business AI use and risk, not to watch people.
Read the white paper
You Can't Secure the AI You Can't See walks through what's changed, what an AI Risk Assessment finds, and how governance follows.
Request your AI Risk Assessment
Tell us a little about your environment and someone from our team will be in touch.
See what AI is really doing in your business
The first step is a clear picture. Start with an AI Risk Assessment, review what we find together, and decide what happens next with evidence in hand.