Identifying network traffic to or from a rare Autonomous System (AS) is crucial in network security and management. An Autonomous System is a distinct network or group of networks under a common administration that shares a common routing policy. Traffic involving a rare AS, which is not typically observed in normal network operations, can be indicative of several potential issues. These can range from inadvertent misconfigurations in routing settings to more serious concerns like attempts at data exfiltration, unauthorized access, or a precursor to cyber-attacks. Early detection of such anomalies allows network administrators to investigate and address these irregularities promptly, thereby preventing potential security breaches and ensuring the integrity of the network.
ElastiFlow provides a collection of anomaly detection jobs designed to identify network traffic to/from a rare Autonomous System comprises various tools and methods focusing on analyzing network traffic patterns.
Analysis
temporal
CODEX
client
CODEX
server
ECS
client
ECS
server
By implementing this collection of anomaly detection jobs, network administrators can quickly identify and respond to unusual network traffic involving rare Autonomous Systems. This proactive approach is critical in mitigating potential threats and maintaining the overall security and efficiency of the network. Timely identification and investigation of such anomalies help ensure that the network remains robust against both inadvertent misconfigurations and deliberate malicious activities.