According to IBM, 20% of breaches are caused by compromised credentials. In 2021 25% of businesses have completed deployment of AI based security, while 40% are partially deployed. Investing in AI-based security can save a business up to $3.81 million in 2021.
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One of the most important takeaways for any business considering biometric security methods is that it is not always wise to rely on only one form of biometric technology, i.e. unimodal. Instead, a multimodal approach that uses more than one type of biometrics is much more secure. It can include facial/voice recognition, iris scanning or fingerprints authentication.
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To improve accuracy and effectiveness of biometric authentication technology, it’s important to layer security with multimodal biometric recognition solutions. Evgeniy Krasnokutsky PhD, AI/ML Solution Architect at MobiDev, explains: “Deploying AI-powered Biometric Authentication solutions to a cloud with uninterrupted communication channels and computing power for neural networks is quite convenient and scalable. On the other hand, such solutions have to be reliable and diversified. And it brings us to a point, where there’s a combination of cloud computing and local hardware components”.
MobiDev engineers have expertise creating AI-powered Biometric Authentication solutions for different verticals. For example, they developed a single sign-on (SSO) biometric authentication product for an enterprise client. This verification as-a-service solution is based on AI voice and face recognition, NLP for question-answering, anti-spoofing techniques, and WebRTC protocol with extra security measures.
