Find your risk threshold sweet spots

When there’s no one-size-fits-all approach to biometric risk modelling, we help you find yours.

Define your boundaries

When it comes to defining your biometric risk thresholds, it is not all about fraud. After all, you still have a business to run.

Your approach to setting biometric risk thresholds needs to consider wider organisational implications, such as:

  • What is the point at which new enrolments start to be abandoned because of image rejections?
  • What would be the financial repercussions from false acceptances if you lower your voice authentication threshold in specific conditions?
  • At what point does introducing additional active authentication steps start to result in customer attrition? 

At AimBrain, we help you interpret your scores and refine your thresholds, so that you can tackle fraud and keep your business stakeholders happy.

Go configure.

From day one, we work with you to understand your goals and use cases, to help you set your specific biometric risk thresholds and architect your custom sequences. Whether biometrics form all or just part of a wider authentication strategy, we’ll design a model to suit your business logic or risk engine requirements.

Our tools let you visualise the impact of variable thresholds on the risk-based return score, which has been normalised between 0 to 1. This score is interpreted against a set threshold that indicates the probability of achieving a false positive or false negative and, through functional testing, you can quickly see the impact of any alterations.

We’ll undertake as many risk threshold calibrations and analyses as you want, before passing over full control of the risk scores, configurations and operational limits.

A scientific approach

Underpinning our biometric risk threshold modelling tools is deep learning.

Our technology is based on algorithms that continue improving through data, and can be trained using existing annotated data (supervised machine learning) or new event data (unsupervised machine learning) for greater precision.

Find out how we use machine learning and deep learning across our modalities, authentication engine and multiple user templates.

Our biometric risk threshold modelling and analysis form part of our structured pilot-to-production biometric deployment programme. Find out how we help businesses add biometric authentication faster here.

Test your scores for free, or get in touch for to find out more.

Try it now with aimbrain on demand

We love talking about risk modelling

Get tech updates and success stories first

Share on linkedin
Share on twitter
Share on email

Our Supporters