Abstract: Security is provided for enterprise local area networks (LANs) by pre-vetting and identifying the security characteristic and actions of any new wireless networks that tries to connect to a secure LAN network. The disclosure herein provides for identification and classification of IEEE 802.11 wireless networks by using monitoring sensor system within and managed by a centralized cloud. The monitoring sensors interrogate the network mimicking the behavior of known platforms, such as an end-user's workstation or mobile device followed by random actions simulating a human person. The response characteristics of the wireless network including the behavior patterns relating to the LAN system and human behavior are collected.

Abstract: A System and Method is provided that enable identifying cyber security attacks using observation and monitoring of end point activity. By following and monitoring the wireless connection related activities of endpoint devices as they cycle through various steps leading to establishing a connection to the secure network, a knowledge base is established in the cloud by analysis of the actions, and communication to build the confidence that the users of the network are where they should be. In one embodiment, no access is provided until a user presents valid credentials. Based on these credentials the network then builds a specific path based on access controls, tunnels or other techniques to control the user's communication and access to specific targets within the network.

Abstract: A threat monitoring and vulnerability management system is disclosed. The system includes one or more sensors configured to scan a frequency spectrum of a project 25 (P25) network and to collect data on the P25 network.

Abstract: Security is provided for enterprise local area networks (LANs) by pre-vetting and identifying the security characteristic and actions of any new wireless networks that tries to connect to a secure LAN network. The disclosure herein provides for identification and classification of IEEE 802.11 wireless networks by using monitoring sensor system within and managed by a centralized cloud. The monitoring sensors interrogate the network mimicking the behavior of known platforms, such as an end-user's workstation or mobile device followed by random actions simulating a human person. The response characteristics of the wireless network including the behavior patterns relating to the LAN system and human behavior are collected.