Abstract: A system comprises a generative AI system including and engine for compliance applications.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the bot anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the bot anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine that could be inside an enterprise or hosted on a public and/or private cloud infrastructure. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device and end point devices or assets including laptops, workstations and servers, and a remediation module coupled to the switch device. The system provides processes for building a network endpoint state transition model. The system can be unsupervised and is completely based on artificial intelligence processes. The network endpoint model is constructed by using a network identity and network behavior observed through data traffic flow to capture co-occurrence of data communications or connections in at least two consecutive observation windows or time frames. This network endpoint connection state transition model is used for detecting behavior anomalies.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.

Abstract: A system comprises an enterprise network system and engine. The engine has a discovery module coupled to a switch device, an AI and machine learning based monitoring and detection module coupled to the switch device, and a remediation module coupled to the switch device. The remediation module is configured to initiate a remediation process based upon the detection of at least one of the anomalies from the flow of data.

Abstract: A method for reconfiguring network security devices coupled to a network directory services server, the network directory services server providing network directory services to the network security devices, includes the steps of storing configuration data for a first network security device at a pre-determined directory location, copying the configuration data from the predetermined directory location to a directory used by the first network security device using the network directory services in response to a first reconfigure request, and updating configuration of the first network security device according to the configuration data in the directory used by the first network security device.

Abstract: A method for configuring a plurality of network security devices, includes the steps of providing a network directory services server providing network directory services to a plurality of network servers, each of the plurality of network servers coupled to one of the plurality of network security devices, implementing a security policy for the plurality of network security devices on the network directory services server, and using the network directory services to provide configuration information for the plurality of network security devices, in response to the security policy.

Abstract: A novel method for a network of computers to improve quality of services using a combination of a bandwidth management tool in a firewall. The method includes the steps of providing a network directory services server providing network directory services to a plurality of network servers, each of the plurality of network servers coupled to one of the plurality of network quality of service devices, implementing a quality of service policy for the plurality of network quality of service devices on the network directory services server, and using the network directory services to provide configuration information for the plurality of network quality of service devices, in response to the quality of service policy.