Best On-Premises Deepfake Detection Software

Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .

pi-labs delivers AI++ powered solutions in deepfake detection, video analytics and forensics, and data intelligence from a wide range of structured and unstructured data sources. Our technologies significantly enhance the operational efficiency of law enforcement and intelligence agencies, enabling faster, more accurate analysis and decision-making. As a leader in AI-driven cyberforensics, pi-labs is committed to providing reliable, state-of-the-art solutions that meet the complex demands of modern investigative environments, ensuring integrity, security, and actionable intelligence.

Netarx is a real-time detection platform aimed at defending enterprises against deepfake and synthetic-media threats in voice, video, and email communications. It continuously monitors metadata and content across these channels, issuing intuitive warnings when communications deviate from policy or exhibit suspicious behavior. Netarx supports deployment via cloud, on-premises, or within federated validator networks; includes post-quantum secure options and use of zero-knowledge proofs; and enables organizations to set up multiple sites or divisions with different security profiles. Users receive visible signals in the apps they already use (“flurp” warnings) when something appears off. IT teams gain high-fidelity signals to act on, reducing false positives and providing what is described as a first line of defense against social engineering attacks that exploit AI.