How to Prevent Data Leaking Into AI Tools

You’re running a mid-size company, and your company is growing faster than ever. You are noticing that customer support replies are faster, and sales emails are more frequent. This is a good sign but here is the catch: your team is secretly using AI tools to enhance their performance. A survey of more than 1000 employees in the U.S. found that 59% use shadow AI to get their jobs done.

In most cases, the intent isn’t bad because the employees just want to get their work done faster. However, the real problem is employees leaking data into ChatGPT without realizing it. If you’re the decision maker in your company, you must know what tools your team members are using.

In this article, we’ll look at how shadow AI spreads inside companies, the risks it creates for fintech and healthcare teams, and what leaders can do to regain control without banning AI.

What Counts as Shadow AI?

Shadow AI is the unauthorized or unapproved use of AI tools and features by people at workplaces. Across fintech and healthcare industries, employees use AI for various purposes. For instance, they might use these tools for content and image generation, analytics, coding, and other purposes.

Still confused how shadow AI happens? Here are a few examples:

A finance employee uploads transaction logs into an AI tool to summarize the activity. This exposes PCI such as transaction histories, card details, and payment identifiers. Exposing these details is risky because it can lead to serious compliance issues under PCI DSS where strict controls are required for handling payment data.

Another example includes when a healthcare operations employee uses an AI tool to summarize patient support tickets, including sensitive information such as patient names, diagnoses, and appointment details. The summaries are shared internally to speed up workflow, but because the AI tool isn’t officially approved or monitored, this creates a risk of exposing PHI and violating compliance requirements.

Why Are People Accidentally Leaking Data into AI Tools?

Employees leak data into AI tools because they want to get their work done faster and in a better way. However, in doing so, they copy and paste sensitive data into these tools. They use their personal accounts which are unmanaged, and this creates shadow AI risks.

In short, Shadow AI is happening inside companies, and the only way you can manage it is by making AI tools usage slightly monitored, not hindered, just guided monitoring. If not governed, prompt and data sharing risks can also damage your reputation because of data leaking into AI tools and other security incidents. A single breach can slow down your company and destroy your image.

AI Tools Your Team Might Be Using Secretly

So, now you know why your team members are effortlessly winding up their tasks with unmatched efficiency. But the surprising part is yet to come\! You might be thinking that the employees at your company might be using 2 to 3 unauthorized AI tools, but that’s not true.

Recent surveys show that startups with 10–50 employees use an average of 18 AI tools. Many of the AI tools never pass through security review but are adopted by employees because they make work easier.

Through a brief research, we have found these AI tools that are quickly becoming popular among employees across the world:

* Open AI’s ChatGPT tops the list as the most used generative AI tool in the world. The tool gets 67% of the traffic for the AI tools in the world. It is followed by Google’s Gemini and Anthropic’s Claude as the most used AI generative tools at workplaces.

* Canva AI Suite is used for making presentations, image generation, and video making. It accounts for up to 6% of the total AI traffic.

* QuillBot is a professional writing and editing tool and is quite popular among office workers.

* Perplexity is an AI powered search engine and is used by many employees.

* NotebookLLM is growing in popularity

Besides these, people at work use many other AI tools such as GitHub Copilot, Poe, Suno, ElevenLabs, Gamma, HeyGen, PhotoRoom, Syllaby, Runway, Napkin AI, Bardeen AI, and more.

You can stay in control of which tools are allowed at your company. SilentGuard supports around 500 tools/websites and they can be enabled or blocked as needed.

The real problem?

So, the real problem is not that the employees are using AI, it is pretending they are not. The following stats show that the problem is bigger:

* Around 60% of employees use AI tools that are not officially approved by their company.

* 82% of users access these tools through personal accounts, not company-managed ones.

* In many cases, employees share company data unknowingly to get better results.

* As many as 77% of employees have already shared company data with AI tools in some form.

For startups operating in fintech or healthcare, where customer information may include PII, PCI, or PHI, the consequences can be much more serious than most teams realize.

AI Risks

Whether your employees are using AI tools with sensitive data, using autonomous AI agents without security review, or embedding APIs without identity control, all of these actions pose risks to your company. IBM’s 2025 Cost of a Data Breach Report indicates that shadow‑AI incidents now account for 20% of all breaches, with these events costing an average of $670,000 more than standard breaches. In this section, we’ll highlight the AI risks in fintech:

Data Leakage And Regulatory Violations

Backend services in fintech and healthcare industries process highly confidential data such as:

* Personally Identifiable Information (PII) which includes full name, email address, phone number, home address, passport or national ID number, and date of birth.

* Payment Card Information (PCI) such as credit card numbers, card expiration dates, CVV codes, and cardholder names linked to payment data.

* Protected Health Information (PHI) such as patient records, diagnoses, treatment history, prescription information, and medical test results.

When an employee copies snippets of sensitive information into AI tools outside the company’s environment, the data leaves the parameter. The result? Re-identification of a customer or client because the data might have ended up in someone else’s dataset. Even a single incident of data leaking into AI tools can kill the reputation of a startup and clients and partners might stop trusting the company.

Lack of auditability and explainability

Every action in highly regulated industries should be traceable, as it requires a transparent audit trail. This means, your company must be able to show what action was taken and why, whether it’s about updating a customer record or processing a payment.

Zero AI monitoring along with shadow AI makes this impossible as there’s no clear explanation of how the AI tool performed a certain action. Thus, enterprise customers ask about AI security as they want to know how a company is handling AI tools. They want to know how you control employees’ use of AI tools, protect sensitive data, and comply with regulations. In the end, lack of auditability and explainability can result in expensive rewrites and may be termed non-compliant.

Compliance Fines

Data leakage can cause reputational risks as well as compliance issues. If your team members upload confidential data to AI tools without approval, data protection laws are violated. Thus, it is important to ensure that AI tools are discoverable and governed.

With AI‑specific regulations such as the EU AI Act and sector‑wide rules like HIPAA, regulators now have the authority to impose multi‑million‑dollar compliance fines. With HIPAA‑style penalties reaching up to about $1.8M per year for certain categories of violation, it is clear that substantial AI‑related fines are no longer hypothetical but are certain.

AI ACT (EU) And Global Regulatory Trends

Artificial intelligence has found its way into workplaces. Though these are practical tools that can make work easier, unauthorized and approved usage can be risky, as we discussed earlier. This is where EU AI Act compliance (August 2026\) becomes critical. This Act is the first legal framework on AI usage across the world, and will come into effect on August 2, 2026\.

The EU AI Act has proposed a risk-based AI classification system. According to this act, the AI usage can be divided into four categories:

* Minimal risk (code of conducts)

* Limited risk (transparency)

* High risk (conformity assessment)

* Unacceptable risk (prohibited)

The AI technologies will be analysed according to the risks they pose; the more the risks, the more the compliance requirements. The main goal of this act is to make sure that the AI tools are safe, non-discriminatory, and transparent.

So what does this mean for the employers?

As EU AI Act compliance in August 2026 approaches, companies will be expected to demonstrate clear control over how AI tools are used within their organizations. Employees should use AI systems that are explainable and traceable otherwise the company may face compliance fines. Thus, startups must adhere to the new transparency rules which will build client trust.

Banning AI doesn’t Eliminate Shadow AI

Most employees believe that AI tools are essential for productivity. Around 91% say they need these tools so you can’t just ban them. Shadow AI doesn’t disappear when tools are restricted, in fact, it might increase as the employees may start using it on their phones. This makes data leaking into AI tools even harder to detect and control.

As a leader, if you care about speed and performance, you will not let your competitive advantage be killed by banning AI tools. Thus, it is important to know what AI tools your team is using, so that you can reduce shadow AI risks. In this scenario, early detection of shadow AI is very necessary, because if it’s not done early, it might travel far beyond control.

So, the best approach is to build guardrails\! You must have clear policies in place so teams can use AI safely while staying compliant.

If you already know which AI tools your team is using, you can easily control data leaking into AI tools. Plus, you can also meet compliance expectations and lead employees towards safe and authorized tools.

To start with, you must first identify and list the AI systems being used by your team members. Then you’ll be able to assess the risks and start preparing for the implications that the EU AI Act will bring. As a decision maker, your aim should be to ensure maximum benefits of AI tools while keeping in mind user safety and protecting their fundamental rights.

In short, you must not ban the AI tools, you must ensure secure AI enablement.

How to Govern AI Usage Across Your Organization?

The EU AI Act and other global regulatory trends indicate that startups must manage and govern the AI usage at their workplaces. This means that the AI tools should not be banned, instead they must be governed properly. However, you cannot govern what you can’t see.

The question is: how to know which unauthorized AI tools your employees are using?

Employees hide AI usage from their employers because of the fear of judgement. Plus, they think they’ll lose the competitive edge over their colleagues if they disclose about using a particular AI tool. Some people hide AI usage at work because they think they’ll be replaced by AI systems when their bosses will come to know how AI is making things easier.

So, how do you know which tools your team is using?

This is where SilentGuard comes in. It helps in early shadow AI detection and stops sensitive data from leaking into unauthorized AI tools. With SilentGuard, you’ll be able to steer employees towards safe and authorized use of AI systems.

Let’s find out how it makes this possible.

How does SilentGuard work?

SilentGuard was built to remove the blind spot which is created by dataflow happening inside of AI tools at workplaces. While traditional tools are designed to track standard activity metrics, SilentGuard starts working before a prompt is shared.

Most traditional cybersecurity systems were not even created to deal with AI tools. SilentGuard continuously monitors networks, endpoints, and shared services to track AI behavior. Here’s how it gives a complete picture of how AI is operating in your company:

* Monitors every AI prompt to identify PII, PHI, credentials, financial records, source codes, and other sensitive information.

* Helps you log metadata of every AI interaction so that all the actions are traceable and auditable.

* Works in the background while no one notices it. It fits easily into your existing workflow and makes sure there are no workflow disruptions

* It tells the employee exactly why some parts of the prompt has been redacted/blocked thereby creating a feedback loop and training for the employee

* Helps you add custom rules, guardrails for each of your different teams

* Has a deep set of guardrails, policies, roles and team members ready for the admin, IT head and/or the CTO to operate and look at any risky data leaving company

You Can’t Stop AI Use, But You Can Control the Risk\!

AI is not risky, shadow AI and no protection is\! Your team needs AI to improve productivity, and it will use it whether you ban or not. So, the smart move is to govern, not ban it. You just have to detect, control, and guide how AI is used at your company.

This becomes even more important with EU AI Act compliance in August 2026 approaching & a dozen more AI regulations all over EU, Asia. Companies will be expected to show clear oversight of AI usage, especially when sensitive data is involved.

The balance of technology and transparency is exactly where SilentGuard fits. It gives team leaders the visibility they need to let AI operate effectively. So the next time a client asks about your AI security policy, you’ll have a clear answer, and the deal won’t be at risk.