> For the complete documentation index, see [llms.txt](https://docs.recognito.vision/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.recognito.vision/face-liveness-detection-sdk/performance-overview.md).

# Performance Overview

## **ISO 30107 compliant face liveness detection**

<figure><img src="/files/QE9xp8It5yolQiRqloCO" alt="" width="375"><figcaption></figcaption></figure>

**ISO 30107 compliant face liveness detection,** which prevents cheating with a photo in front of a camera, is available in certain RECOGNITO's Face SDKs.&#x20;

**RECOGNITO's Passive liveness detection** is the most sophisticated anti-spoofing technology. It does not require any special hardware, nor does it ask users to perform any actions to prove the liveness - it works just by analyzing images.

RECOGNITO's Passive liveness detection accuracy has been thoroughly **tested by our +70 Partners** and by the development and security teams for hundreds of Apps and numerous State and Federal Governments.

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## RECOGNITO Passive Liveness Detection&#x20;

RECOGNITO's Face Liveness Detection protects against a full range of attacks, including:

* **Highly scalable digital injected attacks**: replayed or synthetic imagery such as **Deepfakes** that bypass the device camera or are injected into the data stream.
* **Presentation attacks**: physical or digital artifacts presented to the device camera.

**RECOGNITO's Face Liveness Detection is an active threat management technology integral to client protecting against evolving, novel attack methodologies.**