Fraud and Risk

Next Generation Fraud Detection that Adapts Instantly to Every New Threat

Differentiate identity simulation, automated bot attacks and scams from good customer traffic

Deep fake fraud replicates face, voice and human gesture making identity spoofing and account takeover more successful. Scams make good customers complicity in fraudulent transfers. Fraudsters adapt faster than defenses, undermining trust in every digital interaction.

Isolate and Block Malicious Bots

Isolate and Block Malicious Bots

Prevent automated attacks disabling business processes. Differentiate non-malicious automated traffic such as aggregators.

Differentiate Customers from Fraudsters

Differentiate Customers from Fraudsters

Identify cybercriminals using stolen, spoofed or deep fake identities at onboarding and during attempted account takeovers.

Identify Customers Falling Victim to Scams

Identify Customers Falling Victim to Scams

Use behavioral profiling and beneficiary mapping to identify coercion and potential scam scenarios.

Reduce Fraudulent Payments and Chargebacks

Reduce Fraudulent Payments and Chargebacks

Identify credit card abuse, reduce chargebacks and use step-up authentication only for genuinely high-risk payments.

Adapt as Fast as Fraudsters

Adapt as Fast as Fraudsters

Combine simulation with the ability to experiment on - and adapt - live workflows. Configure the most effective solution to target new and evolving threats.

Uncover the Complete Picture

Uncover the Complete Picture

Assess holistic web traffic rather than point-in-time transactions to better understand trust and risk.

Super Charge Fraud Analysts

Super Charge Fraud Analysts

Respond to live threats instantly. Train and test new machine learning models before deploying live in production.

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