As networks continue to provide more new services, the complexity of the network grows and with it – the management load and costs. Detecting anomalies in such environments becomes dependent on the ability to identify and manage deviations in fine-granularity.
ImVision’s solution is an agentless, real-time anomaly management solution. The solution is based on a pre-defined, knowledgeable network model, which adapts itself to each individual network behavior, using patent-pending artificial intelligence algorithms.
The solution analyzes network communication at the application level per procedure, against a rich set of anomaly detectors, operating in parallel. Each data unit is examined under a few different parameters for anomaly detection and against contextual and content-based information.
This approach delivers the fine-granularity needed to detect and diagnose hard and soft failures in real time and automatically provide root cause analysis and actionable insights. ImVision lets you focus on real issues and minimize time-to-resolution response.
In today’s networks, the attack surface is constantly growing due to vulnerabilities introduced by the variety of new technologies and products. The network is exposed to threats from a high volume of user and iot devices and possible internal attacks (either human generated or via infected equipment). Roaming services pose another severe threat for data leakage, since networks today rely on trust, while the number of roaming partners keeps growing and their authenticity is not supervised.
These vulnerabilities expose the networks to loss of availability, control and confidentiality, as well as private data leakage, which now also becomes subject to GDPR and exposes network operators to fines and penalties of up to 4% of the annual revenues.
imVision’s solution is an agentless, real-time anomaly management solution. The solution is based on a pre-defined, knowledgeable network model, which adapts itself to each individual network behavior, using patent-pending artificial intelligence algorithms.
imVision’s solution protects the network service infrastructure against known and unknow cyber threats by detecting deviations from the expected network behavior, which are indicative to security threats. imVision makes the distinction between known security threats and network service specific anomaly detection of individual behavior to protect against zero-day threats. This approach allows imVision to detect and diagnose infections in real time, automatically investigate forensics and shorten the detection time for known and unknown threats.
The migration to virtualization adds additional layers:
From a network service assurance and performance perspective, the virtualization layer adds a wide range of uncertainties related to configuration, resource sharing and multi-vendor interoperability. From a security perspective, virtualization, as well as the extensive usage of Open-Source, further broaden the attack surface with new attack vectors which increase the risk on service availability, control and data linkage in a virtualized environment.
These drastically increase the time and effort it takes to detect and isolate issues in and as a result can damage your SLA.
imVision’s solution, provides real-time bi-dimensional anomaly management, which analyzes network communication at the application level in correlation with physical and virtual resource telemetry signals. imVision’s solution continuously learns the normal behavioral models and identifies deviations which are indicative to potential security threats or operational failure and automatically provide root cause analysis and actionable insights. Imvision lets you focus on real issues and minimize time-to-resolution response.
IoT is expected to become one of the dominant services in public networks. IoT is characterized by a wide distribution of high volume, cost sensitive, low power and computing resources entities – qualities which makes it challenging to properly monitor and secure such services.
IoT monitoring and security at the network level is currently the most cost-effective approach (although the analysis must be done as close as possible to the end point to avoid by-passing the monitoring points). Public network infrastructures are in a strategic position to offer such a monitoring and security services for IoT customers since they reside in the middle between IoT aggregation and the internet.
imVision’s real-time anomaly management solution protects the IoT services against IoT malfunctioning or cyber threats by learning fine granular behavioral models for each device. The model correlates control and data planes and represent accurately the normal behavior of the service and is capable to detects deviations, which are indicative to operational malfunctional or security threats.
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