Ensuring only real people can pass identity checks
Securing the LINK between capture platform and device
Securing the link ensures all captured content originates from a real device, preventing fake content injection attacks. With our technology, AI is unable to imitate content from real devices.
Integrated into your identity capture platform, our solution works quietly at the point of ingestion to verify that liveness, selfie, and document captures are authentic. Strengthening identity verification against one of the fastest‑growing fraud threats.
Native app
Webpage
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100% certainty, not 98% or 99%
We don’t detect anomalies in submitted content. Instead, we eliminate fake content injection entirely by signing it at the device level, ensuring it originates from a specific camera chip.
Securing the flow from what the camera sees to what the viewer sees.
Get ahead of the fastest growing threat for online identity verification
With the rapid rise of AI‑generated content, the identity verification space faces a new and accelerating threat: fake identity injection. Injection attacks grew more than 6x between 2025 and 2026 (YOTI), with fraudsters increasingly using AI to insert synthetic faces or documents directly into verification flows.
InReality prevents these attacks by securing the submission link, ensuring every capture originates from a verified device and is cryptographically signed at the source. This guarantees that content truly comes from a specific camera chip on a real device, making the capture process impenetrable to manipulation.
Get ahead of one of the fastest‑growing threats in digital identity: AI‑driven injection fraud.
Plugs straight into your identity capture platform
No need to build new workflows or disrupt existing tech stacks. InReality quietly plugs into your existing platform, no change to the customer flow or your tech.
This means that information being submitted on your platform will be signed as real at capture. Adding a clear authenticity signal that elevates your service’s security and trust.
