This article explains what a false positive is in the context of simulation campaigns and how SMARTFENSE detects and filters them to ensure reliable results based on real user interactions.
What is it about?
A false positive is a statistic that has been generated by software, but is recorded on the platform under a user's name.
This behavior is very common in corporate environments and affects most organizations.
When a simulation tool does not detect these situations, the campaign results become distorted. In that scenario, it is not possible to be certain about which actions were actually performed by users and which were executed by automated processes.
| Important: Did you know that SMARTFENSE is the only platform on the market that detects false positives? |
False Positive Detection in SMARTFENSE
SMARTFENSE incorporates an advanced false positive detection feature, based on a robust and proven algorithm, which is also customizable to adapt to the reality of each organization.
This feature allows you to:
Obtain reliable results in simulation campaigns.
Highlight affected campaigns, so the administrative user can quickly identify the situation.
Access specific reports that help understand the origin of statistics generated by software.
Hide false positives from campaign results, ensuring that statistics and audit logs reflect only real user interactions.
In this way, the metrics are no longer influenced by automation and come to faithfully represent human behavior.
Impact on Campaign Management
The correct detection and filtering of false positives provides clarity and peace of mind to the management of awareness campaigns and phishing simulations.
Administrators can make decisions based on real data, improve the risk scoring, and evaluate the organization's maturity level with greater accuracy.
More Information
To learn more about this feature, you can consult the following resources:
📌 False Positive Detection and Filtering on our website.
📌 Related article: False Positives in Simulations: Origin and Solutions.
📌 Recording of the technical workshop on statistics hiding.
📌 Talk by our Product Manager: Why Your Phishing Simulations Are Useless (or its summary).
💡 Best Practices
Periodically review campaign results to identify signs of statistics generated by software.
Keep the false positive hiding feature enabled to ensure clean and actionable metrics.
Use the specific reports to explain results in audits or executive presentations.