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Managed AI – The Next Enterprise Security Layer

Managed AI – The Next Enterprise Security Layer

Read this, and more stories like it in the VienerX Newsletter: https://vienerx-newsletter.beehiiv.com/

 

Managed IT is an expansive product category. It can include several things, PCs, cell phones, local software, firewalls, backups, cloud solutions, and more. The truly insane part, it keeps getting bigger. Just in the last decade, cell phones have gone from an add-on to a critical component, cloud solutions have moved to a nice to have abstract function to one of the larger industries on earth, the list goes on and on.

The next critical function of the managed IT field we have begun to believe, is what we are calling Managed AI.

What is Managed AI?

Managed AI, as we are using the term, is an LLM AI platform that is secured and managed the same way that devices and email tenants. Secure, organizational control, easy to maintain and track data. It’s a platform, managed by an IT provider, for an organization, that LLMs run through. Managed AI is not a common term yet, even in the MSP space. A Google search will not yield the definition we are using (you can go try, we can wait). The product category is still in its infancy.

Why Now?

While it might already feel like AI has been around forever, LLMs in the mainstream are still very new by both technology and business standards. ChatGPT only hit 50 million users three years ago in 2023. CoPilot became native to Windows in December of the same year. One could easily argue that LLM AI models only became a common business tool in the last two years, and most of those two years have been consumed by ongoing battles on if/how/why AI should be used in the workplace.

At this point in time, while the how/why part of AI is still a scorching hot issue, many have accepted that it is probably here to stay to at least some extent. The next question IT professionals should be asking is “Ok, it’s sticking around. So, what are the risks in that?” The answer is, it’s a web-based piece of software that employees are throwing countless pieces of company data into, it’s the same risk as anything else online, and a massive one at that.

The Threat of “Shadow AI”

When an employee copies and pastes a confidential client meeting transcript into a public AI tool to “generate a quick summary,” or feeds it a block of proprietary code to “check for bugs,” they are effectively taking company data outside of the secure environment.

The danger with free, public AI tools is that your inputs are often used to train future versions of their models. Once you put sensitive information into a public LLM, it is no longer just yours, it is in the wild. You have no control over what happens next.

This phenomenon, often referred to as “Shadow AI,” creates a massive blind spot for businesses. It opens the door to severe data leaks, intellectual property theft, and major compliance violations for regulated industries (like HIPAA or SOC 2).

How Managed AI Solves the Problem

If employees are going to use AI to work more efficiently, and they absolutely are, the solution isn’t to ban it. Banning AI just forces employees to use it secretly on their personal devices which introduces ever more problems. The solution is to secure it.

That is exactly what a Managed AI layer does. By deploying an enterprise-grade AI solution managed by your IT provider, you get the best of both worlds: productivity and security.

  • Walled Data: A Managed AI instance lives entirely within your company’s secure environment. When your team interacts with the AI, the data stays in-house and is never used to train public models.

  • Visibility and Control: Just like managing a fleet of laptops or Microsoft 365 accounts, IT can control exactly who has access to your data.

  • Compliance and Logging: If there is ever an audit, IT has full visibility into the environment, ensuring that the company’s data governance policies are being followed.

The Bottom Line

We are moving past the phase of asking if AI belongs in the workplace, and entering the phase of asking how to secure it.

Don’t wait for a data leak to realize your team is using public AI tools. Reach out to the VienerX team today to talk about auditing your current AI usage and setting up a secure Managed AI layer for your business.

Jordan Viener
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