Fraud comes in all shapes and sizes

From new account fraud to account takeover, our fraud prevention tools help you keep your business, customers and data secure in the digital world.

Technology that's been proven to detect more fraud, with no impact to your legitimate customers.

Breached credentials. Malicious apps. Synthetic identities. Instant credit abuse. Sophisticated phishing. SS7 attacks as-a-service. Botnets.

Fraud is shape-shifting, quick to exploit and devastatingly efficient. The tidal wave of information flowing through the dark web, the rapid propagation of botnets and step-by-step attack guidelines through social media networks, and the highly organised packaging up of on-demand fraud services means that the risk of attack is relentless.

We help you detect, prevent and disrupt fraud, quickly and quietly. 

Stop more fraud. Today.

Biometrics-based fraud prevention.

Anomalous behaviour, bot detection, account takeover monitoring and in-session user authentication with liveness detection. Easily-consumed scores feed into your risk engine so you can block, investigate or approve transactions in real-time, and apply better classification of sessions to reduce false rejections and improve operational overheads.

We find the patterns within the data, to defend today and safeguard against tomorrow’s attacks.

Detect and stop:

  • Automated attacks
  • Breached credentials
  • Stolen/synthetic identities
  • Account takeovers
  • Loyalty fraud
  • Draw downs
  • Account abuse

We help you stop manual and automated fraud, wherever and whenever it strikes.

With 6.5bn breached account records identified, the threat of account opening fraud using harvested credentials is intensifying. 

AimAnomaly prevents new account opening fraud by training models and applying deep learning, to build self-evolving fraud detection algorithms. Learn faster and more effectively, to protect against manual and machine-based fraudulent account opening, to stop fraud before it has a chance to attack.

AimBrain also has three active authentication steps designed to check for liveness and prevent spoofing fraud, using facial authentication or lipsync authentication as a step-up security protocol.

New Account Fraud case study

A financial services provider needed to identify new account opening fraud in which fraudsters were using synthetic or breached identity credentials. 


AimAnomaly was used to detect fraud patterns and profiles. Within twelve weeks, we were capturing 75% of all fraud, and 60% of the fraud that the client had never been able to identify.

Kaspersky Lab detected more than 1.3m malicious installation packages in Q3 2018 alone, of which over 55,000 were mobile banking trojans, as advancements in phishing techniques and malware concealed in apps continued to flourish.

AimBehaviour uses thousands of data points to monitor a user throughout a session, by invisibly and continuously comparing their behaviour against their known user template. Risk scores are returned throughout the session and any change in behaviour monitored and flagged, so that additional security steps or session cessation can quickly be enforced.

AimBrain’s active biometric modules – face, voice and lipsync authentication – can be integrated as a step-up security process, to provide strong customer authentication when behaviour falls below minimum thresholds.

Case study

A tier two UK bank wanted to protect against account takeover and adhere to PSD2’s strong customer authentication requirements.


AimFace facial authentication was trialled within four weeks, to provide an active user authentication step, to protect against account takeover and breached credentials.

Fraud can take down businesses with a single script, and survival relies on fighting both the known and the unknown, detecting and isolating new attacks quickly.

By leveraging machine learning and by drawing on patterns gathered across millions of authenticated sessions, AimAnomaly evolves with each interaction so that new automated attacks can be identified and extinguished. With cohorts identified quickly, we find bots efficiently and send real-time alerts, stopping damage before it’s done.

Case study

A services provider was experiencing a surge in new account generation in response to an acquisition campaign. However, this was exploited by a new type of bot attack, designed to create false accounts to cause future damage.


AimAnomaly was being deployed to check for new account fraud in a specific environment, but the monitoring allowed us to immediately identify this new threat and stop 34,000 fraudulent accounts being generated by bots over 3 days.

Loyalty fraud is systemic for organisations that offer sign-up rewards, as new accounts are opened specifically to take advantage of instant benefits or credits. 

Leveraging machine learning and deep learning, AimBrain’s modules can consume vast datasets to identify fraudulent behaviours, in a way that becomes more accurate with every interaction. Using this, account requests can be red-flagged as early as enrolment, to stop loyalty fraud before it happens.

Case study

A tech services provider was experiencing a high volume of new account opening fraud, where genuine credentials were used to open accounts with the intention of abusing free credits and thereafter, continuing to default on payments.


AimAnomaly was used to monitor new registrations. The real-time scores allowed the company to block or immobilise accounts that fit the profile of customers likely to defraud through abuse of free credits or non-payment of services.

How does fraud hurt your business?

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Meet the AimBrain Fraud Prevention Toolkit


Recognise fraud before it happens. Using deep learning, analyse interactions from login from logout. Quickly detect attacks, including new bots.


Monitor known user behaviour from the point of login and throughout a session. Continuous authentication protects against remote account takeover or stolen credentials.


Underpinning all of our authentication modules is our Biometric Identity as-a-Service (BIDaaS) platform; cloud-based for rapid deployments and financial-grade TLS cryptographic protocols.


Step up: combine facial authentication with audio matching and lip movement to benefit from a first-to-market module that is unbeatable by any spoof technology available today.


Step up: swap passwords for selfies, get PSD2-ready and strengthen customer onboarding. Deploy across any device or channel with a camera with a single enrolment.


Step up: say a firm farewell to fraud by swapping passwords and PINs for voice authentication. Deploy across any channel with a microphone after a single enrolment.

Spot attacks as early as new account fraud.

Stop and protect against fraud – any channel, any use case, any device. Get in touch today.

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