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We developed the Fraugster AI Engine based on a behavioral science approach that mimics the thought processes of a fraud analyst.
We developed the Fraugster AI Engine based on a behavioral science approach that mimics the thought processes of a fraud analyst.
80% of data breaches start with compromised passwords. Ahrvo Comply’s facial biometrics based passwordless solution significantly improves security across all access points to networks, account transfers and withdrawal requests. Indeed, any access point into your organisation that currently has a character based password can be replaced by Ahrvo Comply’s passwordless solution.
Built on self-learning algorithms, the AI Engine detects and adapts to new fraud patterns as they emerge. Combined with a machine’s computation power it processes thousands of transactions within milliseconds, enabling unlimited growth.
Utilizing the information gathered during onboarding and subsequent login attempts, Ahrvo Comply becomes more predictive learning your habits in order to detect intruders and mitigate the risk of account breaches by nefarious actors.
Ahrvo Comply becomes more accurate by learning your client’s behavioral traits and habits to support the identification of any attempted account breaches by nefarious actors, fraudsters, and criminals.
Ahrvo Comply uses deep learning algorithms to analyze data and patterns such as the time of a login attempt, the device being used, VPN, browser, and the location of the login attempt to analyze and verify the authenticity of each login.
Ahrvo’s account management and monitoring technology can be leveraged for both internal and external users, enabling you to manage secure access to your network, systems, and devices.
Users are asked to do acts like blink, smile, and turn their head in randomized order for anti-spoofing and liveness detection.
User takes an image of the front/back of their government ID and uploads it to the system. The ID image is extracted for comparison to frames from Step 1.
Computer vision algorithms are used to determine the likelihood of a match. If it is a match the image is stored for future authentication purposes.
A user can now login to any system using Ahrvo authentication technology using facial biometrics that has been validated against a government ID .
Once a facial match is confirmed an authentication token is sent to the user’s device or application to provide secure authentication.
We can’t wait to hear from you. Our team is on standby ready to deliver on your compliance and business needs.
Users are asked to do acts like blink, smile, and turn their head in randomized order for anti-spoofing and liveness detection.
User takes an image of the front/back of their government ID and uploads it to the system. The ID image is extracted for comparison to frames from Step 1.
Computer vision algorithms are used to determine the likelihood of a match. If it is a match the image is stored for future authentication purposes.
A user can now login to any system using Ahrvo authentication technology using facial biometrics that has been validated against a government ID .
Once a facial match is confirmed an authentication token is sent to the user’s device or application to provide secure authentication.
Ahrvo Comply uses artificial intelligence and advanced biometrics to automate onboarding, compliance workflows, and client life-cycle management.
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