Recent studies have indicated that VoIP services are becoming increasingly complex and increasingly becoming the targets of Fraud attempts and Denial of Service attacks. Proper management and protection can only be provided through detailed knowledge of VoIP standards and technologies and thorough monitoring of VoIP traffic. Detailed knowledge is, however, an expensive and rare resource and often not available for smaller and mid-size companies. Thorough monitoring on the other hand often poses a severe intrusion on the privacy of the end-users.
“Instead of requiring a VoIP monitoring solution and local expertise for managing and controlling the used VoIP solutions, customers of the IntuitiveLabs are offered a zero-trust subscription-based cloud service that aims at simplifying their VoIP infrastructure and providing them with a thorough and detailed overview of all operational and security related information of their VoIP infrastructure. All this while maintaining the privacy of the customer’s data!” said Dr. Dorgham Sisalem, CEO of IntuitiveLabs GmbH.
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Data collected by the IntuitiveLabs platform is anonymized before being saved to our cloud databases. All analysis and monitoring functions are conducted on anonymized data and maintain the customer’s data privacy. Using this anonymized data, daily overviews of conducted calls, service interruptions, and service quality are generated. Alarms are sent to inform subscribers about certain events such as the failure of a component or a fraud attempt and the availability of the customer’s VoIP solutions and SIP trunks. Our cloud service uses specialized VoIP analysis algorithms and machine learning tools to provide fraud and DoS detection and protect VoIP infrastructures by controlling firewalls and SBCs.
By subscribing to the IntuitiveLabs Monitoring as a cloud service, customers will be able to secure their VoIP services using a sophisticated AI-based monitoring and Fraud detection solution. Furthermore, they also benefit from a simplified infrastructure as they need to worry about one component less and still pay less as the service is offered as a subscription-based pay-as-you-grow model.
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