Fraud has patterns. We find them.
AI-powered telecom fraud detection that adapts to evolving threats. Give your fraud team early visibility into emerging attacks. AB Handshake analyzes voice and SMS behavior to flag suspicious activity and help your fraud team define appropriate blocking policies.
Recognize attacks even when their patterns change
Traffic Intelligence analyzes behavior across calls and messages to identify suspicious combinations of signals that individual thresholds can miss, without waiting for a new fraud signature or manually written rule.
Analyze traffic
Monitor relevant events and network data to understand normal traffic behavior, including daily and seasonal variations.
Detect anomalies
Identify suspicious combinations of signals across calling patterns, destinations, timing, and other traffic characteristics.
Respond in real time
Generate alerts, reports, or automated blocking actions according to your policies. Review detections and adjust controls through the management interface.
Detect established schemes & emerging fraud
Together, Traffic Intelligence and Call Validation detect a broad range of voice and SMS fraud, including threats missed by existing controls.
Monitor the fraud landscape in real time
Stop more fraud. Protect legitimate traffic.
Traffic Intelligence helps detect suspicious activity beyond predefined rules and make better-informed fraud prevention decisions.
Detect emerging threats
Identify unusual traffic behaviour and evolving fraud patterns that conventional rules may miss.
Benefit from global fraud intelligence
Draw on AB Handshake's broader experience across operator networks to understand emerging fraud trends beyond your own traffic.
Protect revenue & subscribers
Fingerprint suspicious activity associated with spam, scams, IRSF, Wangiri, and other voice fraud threats.
Minimise false positives
Analyse traffic behaviour in context to distinguish suspicious activity from legitimate calls and reduce unnecessary blocking.
Built to complement your systems or operate independently
Add behavioral intelligence to your existing fraud controls or deploy as a standalone fraud management system, according to your requirements.
Add behavioral intelligence without replacing your current fraud prevention approach.
Deployment options can be adapted to network and infrastructure requirements.
Use suspicious traffic indicators to support alerts, investigations, and configured responses.
Retain control over how fraud detection results are handled.
Combine AI-powered Traffic Intelligence with Call Validation
Get protection against all major types of fraud with AB Handshake.
Verify individual calls
Call Validation uses an out-of-band channel to compare call event information between participating originating and terminating operators to identify spoofing, routing manipulation, and other discrepancies.
Frequently Asked Questions
What is a telecom fraud management system?
A telecom fraud management system (FMS) helps operators detect, investigate, and respond to fraudulent activity in voice traffic. It analyzes network and call data to identify suspicious behavior, reduce fraud-related losses, and protect subscribers. Traffic Intelligence is an AI-powered FMS that combines behavioral analysis with configurable detection and response controls.
How does behavioral fraud detection differ from rule-based systems?
Rule-based systems detect threats using predefined conditions, thresholds, and known fraud signatures. They are effective against recognized patterns but may miss new attacks that do not match existing rules. Traffic Intelligence uses machine learning to analyze calling behavior and detect anomalies, including suspicious combinations of signals that have not been explicitly described in a rule.
Can Traffic Intelligence detect new fraud schemes?
Traffic Intelligence can identify emerging suspicious patterns without requiring a predefined signature for every attack. Its machine-learning models analyze traffic behavior and adapt to changing patterns. Detection performance depends on available data, network characteristics, and deployment configuration.
How does Traffic Intelligence minimize false positives?
Traffic Intelligence evaluates suspicious activity in the context of broader traffic behavior rather than relying only on isolated thresholds. Operators can manage thresholds and allowlists, review flagged events, and reverse active blocks when necessary. Two important performance measures are:
• False discovery rate (FDR): The proportion of flagged cases that are legitimate.
• False positive rate (FPR): The proportion of legitimate traffic incorrectly flagged.
Both measures matter when evaluating fraud detection performance and its impact on legitimate traffic.
Does Traffic Intelligence automatically block fraudulent calls?
Traffic Intelligence supports both detection and prevention. Depending on the configuration, operators can receive alerts, investigate suspicious activity, or apply automated blocking. Operators retain control over response policies, thresholds, allowlists, and the handling of detected threats.
What data does Traffic Intelligence need from our network?
Traffic Intelligence analyzes relevant call events and network data. Depending on the deployment, inputs may include call detail records (CDRs), signaling information, and other available network data.
Supported interfaces and data requirements are assessed against the operator's infrastructure during integration.
How long does it take for Traffic Intelligence to become effective?
Traffic Intelligence uses existing fraud-detection intelligence while continuing to adapt to the traffic patterns of each network. The time needed to establish network-specific baselines and optimize detection depends on the traffic profile, available data, and deployment configuration.
Can Traffic Intelligence work alongside our existing fraud management system?
Yes. Traffic Intelligence adds machine-learning-based behavioral detection to existing fraud management systems and network controls. Operators can retain their established rules and policies while gaining additional visibility into suspicious traffic patterns.
How does Traffic Intelligence complement Call Validation?
Traffic Intelligence identifies suspicious behavior across voice traffic, including calls where the other operator is not connected to the validation network. Call Validation independently compares information about individual calls between participating originating and terminating operators. Together, they provide complementary behavioral detection and independent call verification.
Was Traffic Intelligence previously called AI Shield?
Yes. Traffic Intelligence is the new name for AB Handshake's AI Shield fraud detection solution. It is the continuation of the existing product, not a separate product.
Get ahead of the next fraud pattern
Discover how behavioral intelligence can strengthen fraud detection and help protect legitimate communications.