Deepfakes? No, thanks.

Liveness Detection is an advanced security technology that confirms a user is a real, live person physically present during verification. It is your primary defense against presentation attacks, where fraudsters use fakes like printed photos, screen recordings, 3D masks, or AI-generated deepfakes to try and fool your system.

Didit provides a suite of three distinct anti-spoofing technologies, allowing you to choose the perfect balance of security and user experience for your specific needs:

• Passive Liveness (Standard Security): This is our most frictionless method. It uses advanced deep learning (CNN) to analyze a single photo capture for texture patterns and digital artifacts that differentiate a real face from a spoof. It's ideal for low-risk scenarios where a seamless user experience is the top priority.

• 3D Flash (High Security): This method projects dynamic light patterns from the user's screen onto their face. Our AI analyzes the reflections to create a 3D depth map, confirming the face's three-dimensional structure. This provides strong protection against presentation attacks like printed photos and screen replays, making it perfect for financial services and secure account access.

• 3D Action & Flash (Highest Security): Our most robust method combines the 3D Flash light pattern analysis with a prompt for a simple, randomized user action (like a blink or nod). This integration of physical (depth) and behavioral (action) cues provides the highest level of assurance, designed to defeat even sophisticated spoofing attacks like high-quality masks and video deepfakes. It is recommended for banking, government, and other high-stakes applications.

Our AI is trained to detect tell-tale signs of digital and physical manipulation. It analyzes factors like skin texture, light reflections, micro-movements, and 3D depth that are unnatural in spoofs. For deepfakes, our models can identify digital artefacts and inconsistent behavioral patterns that are characteristic of AI-generated content.

Our technology achieves an industry-leading accuracy rate of 99.9% in detecting spoofs, with an extremely low False Acceptance Rate (FAR) of under 0.1%. This performance is validated against international standards (with iBeta PAD testing on our roadmap) to give you the highest level of confidence.

We recommend starting with Passive Liveness for most applications due to its excellent security and seamless user experience. For high-risk transactions (e.g., large fund transfers) or industries with stricter compliance needs (e.g., regulated fintech), you can easily configure your workflow to use Active Liveness as a required step-up verification.

Liveness is a critical step. It ensures the person submitting an ID is actually a live human. The typical flow is:

• Document Verification to confirm the authenticity of the ID
• Face Match 1:1 to confirm the person is the owner of the ID
• Liveness check to confirm real presence

This layered security provides a robust compliance process.

Passive Liveness is included free and unlimited as part of our Core KYC offering when used within our Workflows. For higher security needs, Active Liveness is available as a premium feature for just $0.15 per successful check.