Signaling Firewalls

PREVENT INTERCONNECT RISKS

Over the past few years, the size of distributed denial-of-service (DDoS) attacks doubled, and the number and combination of attack vectors increased significantly. In 2020, 809 million packets per second (Mpps) attack hit a banking organization, making the event the largest packet per second attack ever recorded. Critical services and applications in every industry are rich targets and leave them exposed to downtime and diminished performance if the infrastructure isn’t protected. Attacks can also include hijacking of subscriber equipment, phone call tapping, location tracking, two-factor authentication message interception and additional attack scenarios.

To successfully mitigate these types of attacks, CSPs must deploy proactive controls with real-time machine learning to identify and stop them without impacting legitimate traffic. Deployment of the Mavenir Signaling Firewall helps CSP’s strengthen their security posture as part of their overall robust security strategy. With real-time ML, Mavenir’s Signaling Firewall protection gives CSP’s a 360-degree view of their network, to quickly identify and mitigate malicious traffic without impacts to legitimate network traffic.

 

Identify Attacks in Real-Time

PROTECT THE NETWORK AND REVENUE

Mavenir has a multi-year track record in core network solutions for CSPs. Mavenir Signaling Firewalls have native support for multiple integration scenarios into existing core networks enabling real-time active attack detection and prevention.

Mavenir Signaling Firewall products are fully GSMA compliant, have a low hardware footprint, directly integrate into Mavenir analytics and anti-fraud modules. The Signaling Firewall implements Machine Learning (ML) technology which enables detection of any changes in network behavior and allows alerts to be raised and rogue network elements to be blocked.

Mavenir Signaling Firewall products can protect from security exposures like Denial of Service (DoS) attacks on signaling network elements, DoS attacks on subscriber equipment, phone call tapping, location tracking, two-factor authentication message interception, and other scenarios mentioned in corresponding GSMA recommendations, such as FS.07, FS11, FS19, FS.20, FS.21, IR.82, IR.88 enabling roaming and interconnect security.

Signaling Firewall products are also used for a number of revenue assurance use-cases, e.g. prevention of messaging Application-to-Person (A2P) gray-routes caused by home routing solutions by-pass techniques or direct message delivery based on global signaling network access through Global Title leasing.

SIGNALING FIREWALL

Mavenir Signaling Firewall addresses:
  • Protection of subscriber sensitive data (e.g., network identifiers like IMSI)
  • Prevention of subscriber location tracking by an attacker
  • Detect and prevent voice call interception attempts
  • Detect and prevent SMS interception
  • Prevention DoS attacks on the subscribers
  • Malicious packet detection
  • DoS attacks on operator equipment prevention
  • Discovery of the new threat vectors through traffic profiling and ML
Group 1323

FRAUD AND SECURITY SUITE

Additional solutions include:

18

CallShield

Voice Fraud, Voice Spam, and CLI Spoofing Protection

19

Fraud Management System

Fraud Detection Enhanced with Machine Learning

21

SpamShield / Messaging Fraud

Controlling Fraud, Fakes, Spoof, and Spam

22

Equipment Identity Register

Protect Subscribers When Devices are Stolen

NEWS & INSIGHTS

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Press Releases

Mavenir Extends AI and Analytics Portfolio to Enable Mobile Network Optimization, Automation & Security

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Press Releases

MAVENIR WINS 2 AWARDS FOR INNOVATION AT INDIA MOBILE CONGRESS 2019

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Press Releases

TELEFÓNICA ARGENTINA LAUNCHES AI/ML-BASED SIGNALING FIREWALL FROM MAVENIR TO PROTECT SS7 AND DIAMETER-BASED SIGNALING

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Press Releases

ip.access Wins the Security Innovation Special Award at Security Essen 2018

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Press Releases

MAVENIR ANNOUNCES MOST ADVANCED NETWORK SECURITY SUITE

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Press Releases

MAVENIR ACQUIRES ARGYLE DATA TO BOOST ITS MACHINE LEARNING SECURITY SUITE