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Home // Posts // Liveness Detection for ID Verification: Why It Matters for Online Signing
Businesses now agree contracts, loans, property deals, employment terms and supplier agreements entirely online, often with people they have never met. A signature is only as trustworthy as the person behind it, and for high-value agreements that decides whether a deal stands up when it is challenged.
Liveness detection is a check that confirms the face in a selfie belongs to a live person who is physically present, and not a photo, screen, mask or video. It sits between the document check and the face match in ID verification, so the system compares the ID photo with a real person rather than an image of one.
For any business signing contracts or high-value documents online, it has moved from a nice extra to an essential step.
Key takeaways
Remote identity checks have traditionally asked two questions: is this ID genuine, and does the face match the photo? A fraudster with a forged document, a stolen image or AI-generated video can now answer both convincingly.
The question that matters is a third one: is a real, living person in front of the camera right now? Liveness detection answers it.
There are two broad approaches:
Document checks and face matching on their own can be beaten by three kinds of attack that liveness detection is designed to catch:
Forged and stolen documents are the other half of the problem. Strong document analysis helps, and Secured Signing runs up to 50 text and image tests on each ID. But a convincing document paired with a weak selfie check is a path to fraud. Liveness closes that gap by tying the transaction to a person who is present at that moment.
Liveness detection earns its place for four reasons:
Secured Signing builds liveness into a simple capture flow for the signer. ID Verification works in three steps:
Behind this sits global ID document coverage: the platform can verify more than 16,000 identity documents across 220+ countries and territories, running up to 50 text and image tests on each. Data matching then compares the details captured from the ID with the details your client provided. You choose which parameters must match and how to proceed on a pass or fail. The result is a strong link between the verified person, their ID and the document they sign.
Video Confirmation adds an active liveness check at the exact moment of signing. When a signer clicks to sign, they are prompted to record a short video and perform a gesture, such as a big smile or raising their right shoulder. Video Confirmation captures the signer performing gestures specific to the document, and the recording is kept in the audit log.
Since the rise of deepfake threats, Secured Signing has paired the gesture check with its Realify deepfake detector, which analyses the submitted video to confirm that the person recording is real and authentic. A gesture requested on the spot is hard to meet with a recording made earlier, and deepfake detection covers the case where the video itself is synthetic. See how to use Video Confirmation with Realify.
For online meeting rooms used for signing, the ID Trust Console runs regular checks throughout the meeting. It combines ID Verification and deepfake detection to assess whether the person in the meeting is authentic, fake or suspicious, and to confirm they are the same person who passed the checks before the meeting began.
If anything looks off, the console notifies the meeting host so they can act. The focus is on regular checks rather than continuous monitoring, which means a change of person or a deepfake appearing mid-meeting can still be flagged to the host.
Liveness detection confirms that a selfie shows a live person who is physically present, and not a photo, screen, mask or video. It runs between the ID document check and the face match, so the face on the ID is compared with a real person.
Active liveness asks the user to perform an action, such as turning their head, blinking or making a gesture. Passive liveness analyses the selfie in the background and asks for nothing extra, which makes it faster and lower friction for the signer.
Liveness detection helps, and it works best alongside dedicated deepfake detection. Secured Signing pairs liveness checks with Realify, which analyses submitted video to help confirm that the person recording is real and authentic.
In a presentation attack, the fraudster shows a fake to the camera, such as a printed photo, screen, mask or recorded video. In an injection attack, the fake image or video is fed straight into the verification flow, bypassing the camera.
It depends on your market and sector. Supervisors in some jurisdictions now expect proof that a live person is behind remote onboarding, so check the rules that apply to you.