Reduce direct losses to fraud with our real-time AI powered anti-fraud tool – get 99% accuracy in fraud detection and prevention thanks to ML algorithms and Big Data analysis.
AI Shield was designed to solve the technological and business problems caused by fraud. It allows your company to:
AI Shield uses multiple levels of protection that interact in real time
to provide highly accurate fraud detection.
AI Shield is a cloud-based FMS that detects and blocks all major types of voice fraud attacks. It is a fully-tested anti-fraud tool for telcos who want to protect their networks from fraudulent activity and eliminate direct, operational, and reputational losses.
Multi-level, proactive monitoring and a range of key features offer a stunning level of security and ease-of-use. AI Shield is an effortless and robust way to keep your network and subscribers protected against fraudulent interference.
If you suffer from CLI spoofing, Call stretching or SIM box Fraud, the AB Handshake Call Validation module will help.
AI Shield can be installed inside the security perimeter of an operator and in the Cloud. It is connected to any network element that can transmit A and B numbers and 3 call events (start, connect, stop). This means that our integration options are quick, secure, and flexible.
Following call event analysis by the AI engine, the connector sends call control messages to the operator's network node, if required by the blocking policy.
Our membership in the largest communities in the telecom industry is a testament to the excellence and effectiveness of AI Shield technology.
The tool already comes trained on a large number of calls. We guarantee protection from Day 1.
Yes, we perform regular updates for standalone installations so that clients can benefit from cases detected in other networks (in an anonymized format).
The False Discovery Rate (FDR) of AI Shield is <3% and the False Positive Rate is <0.001% which makes it a very accurate and precise tool for fraud prevention and detection.
The False Discovery Rate (FDR) is calculated using the following formula:
FDR = FP/(FP+TP)
• FP - False Positives
• TP - True Positives
The False Positive Rate (FPR) is calculated using the following formula:
• FP - False Positives
• TN - True Negatives
Yes, we support this feature.
Yes, SMS traffic analysis is in the product's roadmap of and should become available in 2023.
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