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Companies that do not have machine learning experts, can use Turium AutoML to add ML-based fraud detection capabilities to their business applications in minutes while companies with a dedicated team of data scientists can bring their models or build models on Turium CustomML to develop highly specialised fraud detection solutions in days.
By automatically handling the complex tasks required to train, tune, and deploy a fraud detection model, Turium's Fraud Detection ML Solutions make it possible for users who aren’t machine learning experts, but are familiar with fraud issues, to participate in developing and updating highly accurate models.
Turium's Fraud Detection ML solutions scores the risk of an event in real-time, allowing customers to instantly apply containment or remediation measures designed to block or deny fraudsters and fast-track low-risk activity to provide better customer experiences for legitimate customers.
Built-in Turium workflow management allows for prompt and appropriate escalation, triage, and review — with complete cooperation and transparency across all relevant departments. Turium creates needed reporting information with full data lineage to source systems after an enquiry is completed, dynamically updates reports as information changes, and informs analysts of new risks.
Turium serves as the foundation for the Next Generation Financial Crime Solution as a productized, out-of-the-box solution. It comes with a dependable, scalable backend designed for complex data environments.
Turium solutions can be rapidly implemented and will deliver a significant portion of the solution functionality out-of-the-box - meeting needs on an expedited timeline of weeks rather than years.
As the world changes, the data infrastructure is designed to adapt and scale along with changing organisational needs.
Turium is a fully integrated SaaS solution with a fast time to value and a plethora of capabilities to reduce Total Cost of Ownership – even when implemented on-premises. Organisations save money on labour, maintenance, support, and operating costs by bundling a suite of flexible applications.
Turium is an open, extensible, and scalable system. All data in Turium can be securely exported in industry standard, open formats for use in other systems, and all of the logic used to integrate our clients’ data is available and usable in any environment.
The event of interest is an attempt to complete an online purchase or make or process a payment online. One common example in the e-commerce space relates to a “guest checkout”. The transaction involves a user who does not have account history or has selected a “guest” checkout option for a more anonymous experience.
The event of interest is typically the act of a user redeeming a benefit granted via a demand generation or marketing promotion. Bad actors will access a legitimate user’s account and drain loyalty credits or points via transfer or purchase. They will also create multiple fake accounts to exploit promotions such as a free trial or free credits that come with a new account, or perform a self-referral to get a referral bonus.
During online account registration, machine learning-powered facial biometrics can enable identity verification for any situation. With pre-trained facial recognition and embedded analysis capabilities, you can add this to enhance your user onboarding and authentication workflow with no machine learning expertise required.
The event of interest is the act of signing up or registering for a new account. Fraud starts when a bad actor creates fake, stolen, synthetic identities, or generates multiple accounts, often through the use of bots. Once identity is established on a digital platform, executing an attack is easier.
The event of interest is a login attempt for a legitimate user account. Account Takeover refers to the situation where a legitimate user’s login has been compromised, either because a bad actor has stolen their user id and password, purchased them on the dark web, or managed to guess it.takeover
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