HYDAWAY DIGITAL'S REALITYCHECK LAUNCHES LIVENESS DETECTION FEATURE FOR REAL-TIME IDENTITY VERIFICATION

Executive Summary

• Hydaway Digital Corp. announced the launch of a new Liveness Detection feature within its RealityChek platform, designed to combat AI-driven identity fraud in real-time.
• The feature enables enterprises to verify whether a video stream or submission contains a live human versus AI-generated deepfakes, synthetic avatars, or pre-recorded replay attacks.
• The capability is immediately available to enterprise clients via API and is built for seamless integration into onboarding, authentication, and compliance workflows.

Key Details

• Feature Name: RealityChek Liveness Checker
• Core Function: Real-time analysis of behavioral, biometric, and forensic signals to distinguish live humans from AI impersonations, deepfake video injections, synthetic avatars, and face-swap manipulations.
• Technical Approach: Utilizes a multi-signal detection system where no single indicator can bypass the others, ensuring robust defense against sophisticated presentation attacks.
• Availability & Integration: Immediately available to enterprise clients; accessible via existing API and detection interface with lightweight, composable architecture for easy embedding into existing workflows.
• Target Sectors: Financial services, healthcare, legal, and government industries facing rising digital fraud and regulatory compliance demands.
• Company Context: RealityChek is operated through Hydaway's wholly-owned subsidiary, 100098940 Ontario Inc., and complements the company's broader AI infrastructure and GPU rental services.

Notable Quotes

• Karl Kottmeier, CEO: "Identity fraud is evolving faster than traditional verification systems can keep up with. Deepfakes that could fool human reviewers a year ago can now be generated in seconds by anyone with a laptop. Our Liveness Checker is built to stay ahead of that curve — it's not just checking for a heartbeat, it's performing a deep forensic analysis of what it means to be genuinely, verifiably human in a digital interaction."
• RealityChek Technical Team: "Building a liveness detection system that performs reliably against modern attack vectors is one of the hardest problems in the identity verification space. We've designed our Liveness Checker to operate on a multi-signal approach — no single indicator can be fooled without triggering others. The result is a system that is robust against the most sophisticated presentation attacks we've seen in testing, and that we're confident will hold up in real-world enterprise environments."