Your teams have already decided AI makes them faster. Here’s how to make sure your sensitive data doesn’t leave one prompt at a time.
Key takeaways
- AI adoption has already outrun AI governance. 88% of organizations now use GenAI in at least one function, but only 21% have mature governance to match. That gap is where the risk lives.
- Banning AI doesn't work; it drives it underground. Employees route around restrictions, and one in five breaches now involves unauthorized AI tools.
- Barracuda AI Data Security inspects prompts and uploads before they reach GenAI tools, blocking or warning on policy violations and keeping sensitive data from leaving the business.
People in every organization are using AI. Right now, someone in your organization is pasting a spreadsheet into ChatGPT, asking Copilot to summarize a contract or handing Claude a block of source code to debug. This is no longer a hypothetical risk to plan for someday. It is happening now.
The good news: That instinct to reach for AI is exactly what makes teams faster. The challenge is that every prompt can carry customer records, credentials, regulated data, or proprietary information beyond your control. Barracuda AI Data Security is built to close that gap by inspecting what goes into AI tools before it leaves the business, so you can say “yes” to AI without putting sensitive data at risk.
Barracuda AI Data Security is also designed to feel familiar. Policies work like firewall rules, detection is pre-built and on by default and Barracuda’s Bailey™ AI assistant helps configure it. No dedicated AI security knowledge required.
- Every interaction becomes audit-ready evidence you can hand to an insurer or auditor in one click, not a raw log dump someone has to decode.
- It’s purpose-built for MSPs, with centralized, multi-tenant delivery through the BarracudaONE® platform, so partners can lead their customers’ AI adoption instead of watching from the sidelines.
Why does GenAI create new data security risks?
AI is genuinely useful, and that is exactly why this solution matters. Teams that embrace it move faster, write better and get more done with fewer people. Adoption has been staggering: 88% of organizations report using GenAI in at least one function, a level of uptake most enterprise technologies take a decade to reach.
But using AI is not the same as governing it, and that’s where the story gets uncomfortable. Only 21% of organizations have mature AI governance in place, and 73% of enterprise leaders name data privacy and security as their single biggest AI risk concern. They know there’s a problem. Most just don’t have a practical way to fix it.
The reflex for many security teams is to close the door: Block the AI tools and call it governance. But that rarely holds. When people find a tool that makes their job easier, they use it whether or not IT approved it; 57% of employees admit to hiding their AI use from supervisors. Shadow AI is simply the new shadow IT, and the consequences are already showing up. One in five breaches now involves unauthorized AI tools, and organizations with heavy shadow AI usage pay an average of $670,000 more when they're breached, with customer data exposed in 65% of those cases.
So, the old trade-off — move fast and accept the exposure, or lock everything down and fall behind — is a losing hand either way. What organizations need is a third option: Adopt AI confidently and prove sensitive data stays protected.
Why AI requires a fundamentally new approach
Many teams fall into the trap of assuming the security tools they already own will cover AI.
Traditional data-loss prevention (DLP) was designed for a world of files and email: a document leaving as an attachment, or a record copied to a USB drive. AI doesn’t play by those rules. The risk isn’t only a file at rest. It is also a prompt in motion: free-form text a user types into a browser tab, mixing a harmless question with a paragraph of patient data or a customer list. Many legacy controls were not designed to see that interaction.
The threats run in both directions, too. It is not only about sensitive data going out. Attackers can hide malicious instructions inside prompts, and prompt injection is the No. 1 risk on the OWASP GenAI LLM Top 10 2026, the emerging industry standard for AI-specific threats. Content filtering built for web browsing was not designed for this new class of risk.
And the enforcement gap is real, not theoretical. AI security is not a setting you toggle on your existing stack. It needs a control point that sits between your people and the GenAI tools they use, that understands what is in a prompt, and that can act in real time. That is precisely what Barracuda built.
What is Barracuda AI Data Security?
Barracuda AI Data Security is an intelligent, complete solution that makes it easy to accelerate AI adoption without exposing sensitive data.
Powered by the Barracuda IQ™ AI engine, it inspects prompts and uploads before they reach GenAI tools like ChatGPT, Copilot, Claude, and Gemini. When it spots something that should not leave, such as customer data, passwords, financial records, health information, or proprietary code, it blocks the interaction when the risk is unacceptable, and the moment is captured as evidence you can show an auditor or insurer later.
Delivered from the BarracudaONE platform, Barracuda AI Data Security is designed around three ideas we keep coming back to: easy, intelligent, complete. It’s easy because it can be configured quickly without specific AI knowledge. It’s intelligent because it understands what is in a prompt instead of matching blunt keywords. It’s complete because it protects multiple tools, not just one vendor’s ecosystem. The result is a genuine third option: Teams move faster with AI, and you keep control of the data.
How does Barracuda AI Data Security protect sensitive data?
Barracuda AI Data Security stands out because it is easy to deploy, intelligent in how it detects risk, and complete in the way it protects real-world GenAI use.
It works on day one. Detection for the most common sensitive data types, including personal data, credentials, source code, payment card data, and health records, is pre-built and ready out of the box. No lengthy configuration project, and no army of consultants. Enterprise DLP is notorious for taking months to tune; this moves from policy intent to enforcement in minutes.
It’s built on a proven classification engine. The detection behind AI Data Security is not a v1 experiment. It is the same classification technology in Barracuda Data Inspector that already protects billions of files, combined with Barracuda IQ pattern matching and machine-learning (ML) classifiers, now pointed at AI prompts. You are getting a mature engine.
Policies work like firewall rules. Engineering can use Copilot for code; sales is blocked from pasting customer data into ChatGPT. If your admins manage firewalls, this will feel familiar. Where they want a hand, Barracuda’s Bailey™ AI assistant turns configuration into a conversation instead of a manual.
It produces evidence, not noise. Every AI interaction is logged with the user, policy, detection type, action, and timestamp, and exports with one click, structured for insurance questionnaires and compliance reviews. Sensitive content in the log is redacted, so you keep the proof without restoring the data that created the risk.
How can MSPs help customers adopt AI securely?
If you’re a managed service provider, your clients are already asking you to “make AI safe.” Until now, many tools for doing that were priced and built for large enterprises, leaving MSPs to manage a problem that was difficult to solve. Barracuda AI Data Security was purpose-built to change that.
Multi-tenant by design. Centralized delivery through the BarracudaONE platform means you deploy, manage and scale AI governance across your client base from one console: the same one you already use. No separate vendor relationship, no new contract and no new tool to learn.
A growth motion, not just a feature. This is a partner-led AI adoption motion. Discover where AI is being used across a client’s environment, apply practical guardrails and give the client evidence that responsible AI use is under control. That turns a nervous “should we even allow this?” into a practical managed service opportunity.
Priced for the businesses you serve. Enterprise AI security vendors often price for enterprise budgets. Barracuda prices for the midmarket and smaller organizations that most MSPs serve, so AI governance becomes a profitable, recurring service line, not an add-on your clients cannot afford.
Getting started
The best part about AI governance is that you do not have to boil the ocean to begin. Barracuda AI Data Security is built as a value ladder: start with visibility, then add enforcement when you are ready.
If you’re a resource-constrained IT team, begin by discovering where AI is being used across your organization, then move up to guardrails, enforcement and audit-ready evidence at your own pace. No specialized AI security expertise required to start; Bailey is there to guide the setup.
If you're an MSP, use that same laddered motion to lead the conversation with clients: discovery first, guardrails next, evidence on demand. It turns AI anxiety into a valuable managed service that helps customers adopt AI responsibly.
Because it is delivered from the BarracudaONE platform, existing customers can extend protection to GenAI use without a rip-and-replace project. AI governance becomes an extension of the security model you already trust, not another transformation to survive.
The bottom line
AI isn’t waiting for your governance strategy to catch up. Your people have already decided it makes them better at their jobs, and they are right. The only real question is whether you can see, control and prove what happens to the sensitive data flowing into those tools.
For years, the market offered two bad answers: move fast and accept the risk, or lock it down and fall behind. Barracuda AI Data Security is the answer that does not ask you to choose. It is intelligent enough to understand what is in a prompt, complete enough to cover the tools your teams actually use, and easy enough that you do not need a dedicated AI security team to run it.
Say yes to AI. Keep control of your data. Prove it to anyone who asks.
Barracuda AI Data Security is available now on the BarracudaONE platform. Request a demo of Barracuda AI Data Security.
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