VOICE TRAFFIC CHECKUP
AI & ML-based CDR Analysis for Fraud
and Revenue Losses
Not ready to integrate AI Shield for real-time signaling analysis? Start with an offline, non-integrational Call Detail Records checkup.
Evaluate current threats with our powerful AI & ML solution to estimate your current fraud losses. Claim a free, one-time fraud audit to receive detailed traffic analytics with an executive report.
LEARN HOW WE DELIVER RESULTS VIA VOICE TRAFFIC ANALYSIS AND BIG DATA ANALYTICS
Check your traffic for fraud
and undesirable calls
Uncover the true impact of fraud on your revenue with our free call details analysis.
There's no need for complex integrations, we keep everything straightforward.
Easy and Efficient
The process is fast and simple, taking just a few downloadable CDR fields and a week to complete.
Effective and Accurate
Using global fraud traffic visibility, our AI system provides the market's highest level of accuracy.
Secure and Reliable
We sign NDAs and comply with GDPR plus other relevant requirements for personal data privacy and protection.
Anonymous and Private
Optionally increase data privacy through partial replacement of numbers’ digits. Instruction guide provided.
VOICE TRAFFIC CHECKUP
IS THE PERFECT SOLUTION FOR:
MOBILE OPERATORS:
СDR CheckUp helps in evaluating volumes of flash calls, Wangiri, PBX hacking, and more.
WHOLESALE CARRIERS:
Check your traffic for IRSF, zero-duration calls, PBX hacking, and more.
CAN'T FIND YOURSELF? CONTACT OUR TEAM AND LEARN HOW VOICE TRAFFIC ANALISYS COULD HELP YOUR BRAND:
Detect all major fraud types
with cdr analysis
Inbound traffic:
- Flash calls
- Pin-to-speech calls
- Wangiri calls
- Spam calls
Outbound traffic:
- IRSF (including traffic inflation)
- Wangiri 2.0 (enterprise voice fraud)
- PBX hacking
- Calls to premium rate and unallocated numbers
OPERATORS WORLDWIDE ARE ALREADY
USING VOICE TRAFFIC CHECKUP
Years of expertise in fraud prevention have enabled us to achieve
unparalleled fraud detection accuracy:
>99.995%
detection accuracy
<0.001%
False Positive Rate (FPR)
<3%
False Discovery Rate (FDR)
ENHANCE YOUR SECURITY WITH
THE MOST COMPREHENSIVE FRAUD AUDIT
Call Data Analysis Summary
- General fraud findings: CDRs processed by the AI unit, fraudulent calls detected, attack volume per fraud type.
- Fraud revenue loss estimation: Current revenue loss, monthly fraud forecast, annual loss forecast.
Breakdown by Call Type
- Excel files that mark out every fraudulent and undesirable call by type (Wangiri, flash calls, PBX hacking, etc.).
- All critical details included: Time stamp, origination and termination numbers, and call duration.
Insightful Dashboards
- Key statistics and findings presented as clear diagrams.
- Important data points: Risky destination identifier, correlations between call type and country origin, other relevant information.
ON REQUEST, WE'RE HAPPY TO PROVIDE A CUSTOMIZED REPORT AND ANALYTICS FORMAT, TAILORED TO YOUR SPECIFICATIONS
You privacy is our priority
Before the voice traffic analysis, we ensure privacy by requesting the signing of an NDA. We guarantee the security of sensitive data and comply with GDPR and other relevant requirements for protection.
TAKE FRAUD DETECTION
TO THE HIGHEST LEVEL
Call details analysis is an essential tool for fraud detection. However, real-time detection is crucial for comprehensive traffic protection.
Introducing our AI-driven solution, AI Shield, which actively monitors your traffic, quickly detecting and preventing fraud attacks in real time.
Elevate your anti-fraud measures today — give it a try.
CHOOSE SOLUTIONS FROM
INDUSTRY EXPERTS
AB Handshake’s excellence is recognized worldwide, as evidenced by
our association memberships in the industry’s largest communities:
GSMA
Member of the GSMA, a member-led global organization shaping the future of the connectivity ecosystem
CFCA
Member of the CFCA Trusted Calls Task Force Committee, aimed at developing the most effective way to combat communications fraud
MEF
Member of the Mobile Ecosystem Forum, a global trade association, representing the total mobile ecosystem connecting across borders, sectors and company size.
GLF Community Member
Member of GLF the Community, a network of leaders that represents the ecosystem of companies, partners and industries that underpin global digital infrastructure
ITU
Associate of the ITU, the United Nations specialized agency for the information and communications technology sector
Globee® Cyber Security Global Excellence Awards
Gold GLOBEE® Winner as "Startup of the Year" in the "Telecommunications Security" category
PTC Awards 2022
Winner in the "Outstanding Start-up" category
Global Infosec Awards 2022
Winner as "Next Gen Telecom Fraud Protection" in the "Telecom Fraud Protection" category
Stevie Awards 2021
Gold Winner in the "Most Innovative Tech Company of the Year - Up to 100 Employees" category
Cybersecurity Excellence Awards 2021
Gold Winner at Fraud Prevention in NORTH AMERICA and a Silver Winner at Best Cybersecurity Startup in NORTH AMERICA subcategories
Stevie Awards 2021
Bronze winner in 2 categories:
1. Company of the Year - Telecommunications - Small Status
2. Tech Startup of the Year- ServicesRisk Reward Awards 2020
Innovation Award Winner
INSIGHTS FROM OUR EXPERTS
Explore in-depth insights into voice traffic analysis and various telecom
fraud types through articles from our experts:
FAQ
- How are Call Detail Records (CDR) handled for analysis?
The CDR are transferred for analysis only after a signed NDA is established between AB Handshake and the disclosing party.
To ensure security, the call data transmission between the client and AB Handshake infrastructure is facilitated through multiple secure methods, which may include a dedicated VPN connection.
- Is Big Data involved in the analysis process?
Yes, the analysis process incorporates Big Data principles to handle and interpret large datasets efficiently, ensuring a comprehensive evaluation of Call Detail Records for optimal insights.
- Can I anonymize call data?
Yes, you can anonymize A and B numbers before sending them. The preferred option for anonymization is to change the last 4 digits to letters according to the logic shown in the example below:
Number: 1234567890
Number (anonymized): 123456HIJA
Where each digit is changed to a given letter, for example:0->A, 1->B,2->C, 3->D, 4->E, 5->F, 6->G, 7->H, 8->I, 9->J
This change is the same for all A and B numbers, with only the operator aware of this mapping. AB Handshake does not have access to it.
- How much traffic does AB Handshake need in order to achieve accuracy, and what type of CDRs are required?
The main requirement is that the data represents a cross-section of CDRs, as opposed to a one-off or selective group of CDRs.
The optimal time period in which CDRs cover is 2 weeks.
The AI/ML CDR engine uses complex processes to analyze large volumes of data, gaining fraud insights to make informed decisions. AB Handshake has the infrastructure, tools, and analytical skills necessary to fully utilize Big Data CDR analysis.
READY TO RECEIVE YOUR FIRST FRAUD AUDIT FROM VOICE TRAFFIC CHECKUP? LET'S START!
DISCOVER AB HANDSHAKE
Protect your business against major voice and SMS fraud types
simultaneously with the AB Handshake System.
Get in touch
Simply fill in the form below and our representative will answer your questions ASAP.