Fraud Detection
Trusted by financial institutions and telecoms to reduce risk and protect users through intelligent real-time fraud detection.
case studies
Can you Catch a Fraudster?
Fraudsters move fast, constantly shifting tactics - can you keep up? Harness real-time insights and unified control over your data streams, Nussknacker’s decisioning platform empowers financial institutions and telecoms to detect and prevent fraud with unmatched agility.
Adapt instantly to emerging threats and evolving fraud patterns with a flexible, low-code solution that lets you react in real time - so you can stop fraud before it impacts your customers or your bottom line.
Monitor Activities in Real-Time
Stay one step ahead of fraudsters with continuous, real-time monitoring of user activity, transactions, and system behavior.
- protect your clients from account takeovers, minimizing losses from phishing and credential stuffing attacks,
- monitor client behavior in real time, detect suspicious activity and stop account takeovers as they unfold,
- combine transaction monitoring with machine learning, flag unusual patterns and reduce the risk of money laundering,
- track fraud signals across the full user journey, from login attempts to high-risk transactions,
- visualize and drill into activity streams instantly, helping your fraud teams respond quickly and decisively.
Choose Proper Solution
- real-time fraud detection, monitor transactions and behaviors instantly to stop threats before they escalate,
- low-code decisioning, empower teams to adjust rules fast without code changes or long dev cycles,
- ml-enhanced detection, combine rules with machine learning to spot anomalies and evolving fraud patterns,
- scalable performance, handle millions of events per second across financial and telecom systems,
- flexible integrations, seamlessly connect with streaming data sources, APIs, and legacy systems.
Financial Fraud Cases
Unusual Transaction Activity
Spot suspicious spikes
High-frequency and high-value transaction bursts over a short timeframe often indicate to fraud attempts, account takeovers, or urgent efforts to withdraw funds.
Behavior-Based Fraud Detection
Catch early signs
Account takeovers often begin with subtle deviations in user behaviour - such as logins from unfamiliar devices, changes in access patterns, or abnormal navigation flows.
Exceeded Limit Detection
Catch risky surges
Exceeding a customer's pre-defined transaction limits can be an early warning sign of fraud, especially when tied to sudden behavioral shifts or high-risk patterns.
Financial Fraud Solutions
Tackle with real-time
Discover how financial and banking institutions could detect and prevent fraud with real-time insights and scalable detection tools.
Telecom Fraud Cases
Phishing & Spoofing
Secure user trust
Detect and block phishing and spoofing attempts that impersonate trusted entities to steal credentials, hijack accounts, or defraud users.
Telecom Credit Frauds
Prevent revenue loss
Identify and block telecom credit fraud schemes such as unpaid service usage, fake customer identities, and abusive account behavior before they impact revenue.
Artificial Traffic
Block fake calls
Detect and prevent artificial traffic across SMS, voice, and data channels that manipulates volume, exploits billing and generates fraudulent revenue in telecom networks.
Telecom Fraud Solution
See how it works
Discover how telecom operators could detect and prevent fraud with real-time analytics and flexible detection tools.
Your Real-Time Fraud Detection Solution
Take control of your fraud prevention strategy and unlock the power of real-time detection with Nussknacker’s dynamic decisioning platform. Contact us to start building your solution today.
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