How to Manage False Clicks in Phishing Simulations for Security Awareness Training

Managing false clicks during phishing simulations is a crucial part of making sure your security awareness program is both effective and fair. Whether you’re using Gophish or a more advanced solution like KnowBe4, Cofense PhishMe, Proofpoint Wombat, or Keepnet Phishing Simulator, one thing remains the same: you want to raise cybersecurity awarenessamong your employees. For that to happen, the phishing tests need to be accurate, and false clicks, those unintentional interactions, can really mess with your results.

Identifying actual risky behaviors, such as employees clicking on malicious links, submitting credentials on fake websites, or even scanning quishing QR codes, is key to making your phishing simulations work. So, let’s dive into what false clicks are and how to manage them effectively. Learn more: What Is Phishing How To Protect Yourself From It.

What is a false click in phishing simulations?

In a phishing simulation, a false click is when a click or interaction is mistakenly logged as coming from an employee, but it was actually triggered by automated security tools. Tools like Mimecast, Barracuda, or Microsoft Defender often scan emails for threats, and this can set off false clicks in phishing simulations. These false positives mess up your reports, making it look like employees are falling for phishing attempts when they’re not.

If you don’t manage these false clicks, your cybersecurity training may become unreliable, and employees may lose trust in the process, thinking they’re being unfairly singled out.

Why false clicks happen in phishing simulations

False clicks are usually caused by security solutions that scan emails automatically. Tools like Mimecast, Proofpoint, or Barracuda will open emails and follow links to make sure they’re safe. The problem is, these tools act just like real users, triggering clicks that your phishing test software can misinterpret as employee actions. This can cause confusion and affect the accuracy of your cybersecurity awareness training.

The challenge false clicks create

Imagine your colleague, Bob, coming to you frustrated. He didn’t click on any of the phishing emails, but he still got flagged in the phishing simulation report and now has to redo his security awareness training. He’s not happy about it and neither are you.

This situation highlights a common problem: false clicks making it look like an employee failed a phishing test when they didn’t. It’s frustrating and unfair, and it can damage trust in your security awareness program.

Whitelisting isn’t enough

Whitelisting phishing simulation emails might seem like a good way to prevent false clicks, but it’s not a complete solution. Even if you whitelist the sender's address, secure email gateways (like Barracuda or Microsoft Defender) still scan and open these emails, leading to false interactions.

How to eliminate false clicks

To eliminate false clicks, your phishing simulation needs to use some smart technology. Here are a few effective ways to filter out these false clicks:

1. Unusual user-agent detection

Security tools use user-agents that are different from what a real user would use. For instance, a normal user might browse with Chrome or Firefox, while an automated security tool might use Python or Java. Phishing software that can detect these unusual user-agents can filter out false clicks from your reports.

2. Honeypot links

Adding invisible honeypot links to phishing emails is another great strategy. Regular users won’t see these links, but automated systems will. By tracking interactions with these hidden links, your phishing simulation tool can identify false clicks and exclude them from reports.

3. Anomaly detection

Sometimes the behavior of security tools is odd, like opening an email many times in a few seconds or clicking a link repeatedly. These behaviors are clear signs of an automated scan, not a human interaction. Using anomaly detection can help filter out these false clicks. You can even flag interactions from unusual locations. For example, if an employee in London appears to be clicking on emails from a U.S. IP address, it’s probably a false click.

How Keepnet handles false clicks

At Keepnet, we’ve designed a Sandbox Detection System that helps eliminate false clicks caused by secure email gateways and other automated tools. We combine honeypot links, unusual user-agent detection, and anomaly monitoring to ensure that only real interactions are counted. This makes sure your phishing test reports are accurate and reliable.

Unlike KnowBe4 and other vendors, we’ve built this feature specifically to tackle false clicks, reducing frustration and ensuring fair training results. You can stop worrying about incorrect data and focus on improving your team’s security awareness.

Real examples of false click detection

To give you an idea of how our false click detection works, here are two real-life examples from our phishing simulations:

1. One campaign detected interactions from non-standard user agents like HeadlessChrome, flagging them as false clicks. This ensured that the simulation results were accurate and that only actual user behavior was logged.
2. In another case, our honeypot feature caught multiple interactions from a security tool’s IP address. These were marked as false clicks, ensuring that the phishing test results reflected actual user actions, not automated scans.

These examples show the power of smart phishing test software in eliminating false clicks and improving the accuracy of your simulations.

Best practices for managing false clicks

Managing false clicks is all about using advanced phishing test software with features like anomaly detection, honeypot links, and user-agent filtering. Here are some tips to keep in mind:

• Choose phishing software that can detect and exclude false clicks from automated systems.
• Regularly review and adjust your security systems to stay ahead of evolving techniques used by automated scanning tools.
• Make sure your reports are based on real user actions so that your security awareness training is accurate and fair.

Why false click detection is critical

False click detection is important because it ensures the integrity of your phishing simulations. Without it, you risk making decisions based on faulty data, which can weaken your overall cybersecurity posture. Accurate simulations give you a true picture of your organization’s risk and help you build a more effective cyber security awareness training program.

What Better Program Design Looks Like

Manage False Clicks in Phishing Simulations for Security Awareness Training works best when the content reflects how people actually make decisions. Strong programs do not try to teach everything at once. They focus on the few behaviors that create the most risk, then reinforce them with current examples, timely reminders, and clear reporting paths.

That is also what makes training easier to defend internally. When a program changes behavior, reduces repeat-risk patterns, or improves reporting quality, leaders can see how awareness supports real business outcomes instead of acting like a standalone compliance activity.

Keepnet teams usually see the biggest gains when training is tied to a reporting path and a follow-up workflow. For most organizations, the common mistake is treating manage false clicks in phishing simulations for security awareness training as content delivery instead of behavior design.

Program Checklist

• Choose the user decisions that matter most instead of covering every possible topic.
• Use short modules, current examples, and realistic follow-up after incidents or simulations.
• Measure reporting, repeat risk, and remediation behavior, not only completions.
• Give managers and team leads a role in reinforcing the habits you want to build.

False-click separation is one scorecard item when you compare vendors. Details in KnowBe4 alternatives (2026).