AimBrain Solutions Ltd.- Experts & Thought Leaders

Latest AimBrain Solutions Ltd. news & announcements

AimBrain joins ForgeRock Trust Network by adding five biometric authentication modules to the identity platform

AimBrain, the Biometric Identity as-a-Service platform, announced its place on the ForgeRock Trust Network. The Trust Network, which recently celebrated the traction made by the end of its first year, is a global partner programme designed to provide organisations with access to the most comprehensive range of authentication, risk and fraud management, identity proofing and identity enrichment solutions, all of which have been integrated onto the ForgeRock Identity Platform. AimBrain is joining more than fifty select digital identity experts partnering with the ForgeRock Identity Platform, which is now one of the most extensive digital identity marketplaces available. As a unique provider of five proprietary biometric modules, both invisible and visible and based on a server-side authentication model, AimBrain sees its rapid, open API-based deployments as something that will fulfil ForgeRock customers’ authentication requirements and add value to their wider fraud prevention strategies. Protection against fraud and losses We have effectively extended our route to market whilst adding our face, voice, lipsync, behaviour and anomaly detection modules"“Collaboration is critical today as private and public sector organisations have digital identity requirements that differ by region, use case, regulatory obligations and channel,” said Antony Bream, Global Head of Enterprise Sales at AimBrain. “User authentication - that is protecting yourself against fraud and losses by being sure that your user is whom they say they are - is complex and rarely satisfied with an out-of-the-box solution. By joining the ForgeRock Trust Network, we have effectively extended our route to market whilst adding our award-winning face, voice, lipsync, behaviour and anomaly detection modules to the armoury available to ForgeRock customers in the fight against fraud.” Accessing wider range of digital services Ben Goodman, Vice President of Global Strategy and Innovation at ForgeRock, sees the programme giving customers more choice and confidence, as they will have access to a wide range of third-party identity and access management technologies, all of which have been certified by ForgeRock. “By bringing security and identity industry leaders like AimBrain together under the ForgeRock Trust Network, we have allowed our customers to access a wider range of digital services. Our joint customers are now able to configure unique, scalable and secure solutions, faster and with the confidence of the ForgeRock verification.”

AimBrain introduces lip sync and audio in facial authentication module

AimBrain, the Biometric Identity as-a-Service platform, has raised the bar in user authentication by introducing optional audio and lip synchronisation into its facial authentication module to create AimFace//LipSync. Designed to prove liveliness and counter even the most sophisticated spoofing technologies, AimFace//LipSync provides AimBrain customers with stronger user authentication by combining facial recognition with a spoken challenge and lip movement analysis. Traditionally, defences against facial biometric fraud – that the user is genuine and not a photo, video or computer-generated simulation – have been to train algorithms to process images at low levels, searching for fraud signals such as chromatic anomalies, textural differences, Moiré patterns or screen exposures. This low-level processing has, however, made the algorithms sensitive to subtle changes in camera, projection means and external environments, resulting in high accuracy but only within the limited parameters in which they were trained. AimBrain is first to market with this unique combination of visual and audio syncing Two-factor human identification system “We decided to take a different approach to the problem,” said Efstathios Vafeias, Lead Scientist at AimBrain, who led the project. “We have developed an algorithm that uses both visual and audio data to detect a real person, not a presentation attack. By asking a user to say a randomised number to the camera, our technology now not only authenticates their face against a template but verifies that the numbers match the prompt and analyses the synchronisation between the voice and lip movement. So, as well as providing a step-change in security, this method maintains accuracy while being less susceptible to hardware or environmental changes.” AimBrain is first to market with this unique combination of visual and audio syncing, which can be used across any industry in place of any process that uses passwords or two factor authentication. An enterprise’s user or customer authenticate themselves by saying a randomised number to camera when prompted, whereupon the algorithm behind AimBrain’s new feature (AimFace//LipSync) assesses three components: Facial recognition: Does the face match the template? Liveliness detection: Do the lips move in response to the voice challenge? Anti-spoofing technology: Is the sound synchronised to the lip movement? We are in the late stages of developing an integrated solution that combines facial authentication and voice authentication" Combining face and voice authentication “Many of today’s anti-spoofing technologies can be fooled using the simplest of measures,” said Andrius Sutas, CEO and co-founder at AimBrain. “We have all seen the high-profile hacks that have beaten new smartphone biometric security systems within days of their release. Our lip sync technology means that to beat it, an attacker must be human, look exactly like the user and correctly say a random number, while we analyse the lip movements, within a limited timeframe. The level of sophistication required for an attack goes far beyond ordinary capabilities.” Alesis Novik, CTO and co-founder at AimBrain, believes that the fight against fraud is one that will never end, and his product roadmap does not stop with lip syncing. “We are in the late stages of developing an integrated solution that combines facial authentication and voice authentication, and assigns an automatic weighting of the two, depending on the environment and context. If a user is in a noisy environment, the weighting will be on the visual side. In a dark environment, for example, the audio authentication plays a stronger part. We are nearly there and expect to launch later this year.”

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