Facial biometrics are revolutionizing identity verification. Deepfakes fuel fraud, posing security challenges for product leaders. Innovative solutions are crucial for competitiveness, boosting security, privacy, and compliance. Biometric technology could be the game-changer.
Facial biometric technology offers organizations valuable advantages by leveraging biometrics to verify customers' identities. However, as its popularity grows, bad actors refine skills to bypass systems. Deepfakes pose a big threat, with a 3,000% increase in phishing and fraud incidents. Cybercriminals use face swaps and 3-D deepfakes to exploit security gaps globally. Companies lacking deepfake protection need innovative solutions.
In today's market, product leaders seek inventive solutions to enhance offerings and tackle security, privacy, and regulatory challenges. Biometric tech stands out as a remedy. To stay competitive, leaders must innovate continuously, finding solutions that improve products and address security, privacy, and regulatory issues. Biometric tech could be a game-changer.
Each individual holds a unique identity, represented by their personal biological characteristics. In this information era, the challenge lies in verifying this identity securely while ensuring user convenience. Enter biometric technology - a perfect blend of advanced security and user-friendliness, opening the doors to seamless user experiences and unparalleled security measures. In our digital world, verifying someone's identity securely and conveniently is a constant battle. Biometric technology bridges this gap. By leveraging our unique biological traits, biometrics offers both top-notch security and a seamless user experience.
Biometric technology particularly shines in facilitating faster, more secure access to goods and services. Its potential applications are vast, stretching across sectors like healthcare, banking, security, digital security, mobile payments, and even peer-to-peer sharing economies.
When it comes to leveraging biometrics for better product performance and achieving differentiation, there are several key areas where this technology can make a significant impact:
Incorporating biometrics into your product not only enhances its functionality, but also opens up opportunities for differentiation in terms of security, user experience, personalization, and efficiency. By leveraging the power of biometric technology in these key areas, you can create a unique selling proposition that sets your product apart in a competitive market landscape.
If your business is still using legacy authentication, your security measures are probably less sophisticated than the methods being used by fraudsters to try to access your clients’ accounts. As a business, you should assume bad actors know the limits of your approach to security and work with that as your baseline.
At Veriff, we are at the forefront of this biometric revolution. Embrace the future with cutting-edge biometric technology - redefine your product's security standards while enhancing user experience.
An effective fraud prevention strategy should layer multiple solutions and be built around a constantly evolving approach. For example, biometric authentication means it doesn't matter if a fraudster can intercept a one-time password provided to a customer – they can’t access the person’s face and present it live on camera as part of a verification session.
Other features, such as liveness detection and real-time user feedback, can promote increased safety without slowing down the process and causing friction in the user experience. Meanwhile, the application of machine learning to the reams of data collected in authentication sessions can constantly fine-tune your approach. Together these solutions can minimize the ROI for fraudsters and drive them to seek easier prey – potentially your competitors who are still using legacy authentication!
At Veriff, we understand that organizations need to securely authenticate users without disrupting the users’ experience. This applies across the entire user journey, particularly at critical steps such as account access, undertaking a high-risk activity, or recovering an account. Veriff’s Biometric Authentication solution examines a user’s submitted selfie with AI-powered algorithms and facial biometric analysis to instantly and securely authenticate previously verified users and make the moments that matter to your customers as seamless and stress-free as possible.
Veriff Biometric Authentication is a fully automated solution that uses AI and biometric analysis to authenticate users. The solution analyzes the user’s facial biometrics from a selfie and matches it to a previously verified biometric template to check if it is the same person.
Biometric facial authentication mitigates the risk of fraudsters taking over accounts, committing suspicious activities through continuous authentication, and securing high-risk activities such as transferring a high-value amount or adding a new payee. The user simply takes a selfie, making it more convenient and secure than knowledge-based authentication methods such as passwords, PINs, or shared secrets.
Veriff’s biometric authentication confirms that a returning user is who they claim to be. Users can authenticate on any device and platform of their choice, as Veriff supports iOS, Android, mobile web, and web SDK or API.
Once the user’s selfie has been enrolled, either from an identity verification session or by taking a biometric enrolment selfie, the user can simply use their face to authenticate themselves.
The user simply takes a quick selfie, replacing cumbersome, outdated, and less secure authentication methods such as passwords, shared secrets, or one-time passcodes selfie
Conducts real-time analysis of the user's selfie, including image quality and fraud checks, liveness detection, and face matching so that you can approve genuine users with confidence.
Provides a clear and actionable decision in just 1 second, empowering you to make an informed final decision - whether to allow, deny, or request additional verification.
Autonomous delivery robot company Starship Technologies uses Veriff’s Biometric Authentication for authentication and re-verification services. The recipients of Starship’s deliveries can authenticate their identity in order to receive their goods.
Starship is revolutionizing food and package deliveries by offering users convenient, low-emission delivery services via its autonomous robot fleet, fully monitored via their smartphone app. Veriff will enable an additional level of security to Starship’s delivery platform to further verify the purchase and delivery of age-restricted items via the re-authentication of the user through Veriff’s AI-powered identity verification platform.
"Partnering with Veriff allows Starship to autonomously deliver age-restricted items in the UK and beyond as we continue to take on new markets and stores at a rapid pace," said Ryan Tuohy, Senior Vice President of Business Development and Sales at Starship Technologies. "We are excited to work with Veriff in providing the highest quality Identity Verification solutions for our users to ensure their safety and peace of mind on our trusted platform.
Biometrics Technology refers to the process of recognizing and verifying individual people by analyzing their unique biological characteristics. It involves assessing organic data about a person, such as fingerprints or facial features that differentiate them from others, to confirm their identity and ensure accurate dealings.
The four main types of biometrics are fingerprint scanning, facial recognition, voice recognition, and iris scanning. These methods leverage unique individual traits to provide secure identity verification, with each having its particular advantages in terms of accessibility, ease of use, and security level.
An example of using biometrics is in mobile payments. Companies like Amazon are leveraging biometric technologies like facial recognition for checkout-free shopping experiences. Users can simply collect the goods they want, and payment will be taken automatically, thanks to the biometric identification enabled by AI-driven cameras.
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