Empower Business and Protect Your Clients at Every Stage

Real-Time Fraud Detection

Protect your revenue and reputation with instant, data-driven fraud detection at scale, using real-time analytics and machine learning to identify evolving threats.

Real-Time Fraud Detection: Add New Detection rule in 1 minute

Trusted by financial institutions and telecoms to reduce risk and protect users through intelligent real-time fraud detection. Case Studies →

Speed Matters

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.

Illustration representing fraudsters, highlighting common tactics, identity concealment, and methods used to exploit system vulnerabilities across industries
Continuous Monitoring

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.
Illustration of monitoring suspicious activities using real-time data, alerts, and anomaly detection across various systems and industries
With Nussknacker

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.

More about product

Nussknacker Designer with low-code interface, enabling financial institutions to build real-time stream processing scenarios and automate decisions using machine learning.
In Practice

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.

Transaction Activity Example →

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.

Transaction Limits Example →

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.

See solution in action →

Beyond Banking

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.

Phishing & Spoofing →

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.

Telecom Credit Frauds →

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.

See solution in action →

Telecom Fraud Solution

See how it works

Discover how telecom operators could detect and prevent fraud with real-time analytics and flexible detection tools.

See solution in action →

Are You Faster Than the Fraudsters?

Take control of your fraud prevention strategy and unlock the power of low-code real-time detection with Nussknacker’s dynamic decisioning platform. Contact us to start building your defense today.