As the Internet of Things advances, security becomes a critical issue due to the rising number of connected devices exposed to cyber threats. Conventional security solutions focusing on network end point and gateway-level protection at the edge of local networks are unable to mitigate distributed and massive-scale threats, such as DDoS attacks.
An effective solution needs to be able to detect and remove attacks from the network operator’s network infrastructure to protect the backbone of the internet service provider as well as the edge local networks. Genie’s DDoS protection is based on IP Flow technology and an embedded Network Behavior Anomaly Detection Engine with auto-learning mechanism to detect, locate, and mitigate any anomaly traffic in real-time to provide the best-of-breed network security solution.
Automatically adapts detection thresholds with traffic behavioral analysis, capturing unknown threats and zero-day attacks with greater precision.
GenieATM provides automated, multi-layered DDoS protection by detecting, analyzing, and mitigating attacks in real-time. Using flow telemetry from routers and switches, its machine-learned detection engine identifies anomalies based on traffic patterns and baselines. Upon detection, GenieATM automates mitigation through BGP route injection or FlowSpec, redirecting volumetric attacks to an out-of-path scrubbing center. The scrubbing device filters out malicious traffic and tunnels clean traffic back to the network. Once the attack subsides, normal traffic flow is restored, ensuring seamless service for end customers.
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