摘要:
A prevention-based network auditing system includes a central compliance server generating network policies and configuring audits of the data communications network. The compliance server presents a graphical user interface (GUI) to describe the specific data gathering parameters, policies to be analyzed, and the schedule of analysis. One or more audit servers strategically deployed around the network employ heterogeneous data-gathering tools to gather information about the network in response to the configured audits, and transmit the gathered information to the compliance server. An audit repository stores the gathered information for use by the compliance server for security and regulatory policy assessment, network vulnerability analysis, report generation, and security improvement recommendations.
摘要:
A prevention-based network auditing system includes a central compliance server storing both natural language policy documents and machine-processable policy rules in an audit repository. The compliance server provides a client-side user interface allowing a user to easily generate a machine-auditable policy by selecting/generating a natural language policy source document, and linking the applicable machine-processable policy rules to the applicable portions of the source document. The selected machine-processable policy rules are then applied to information gathered about the network during a scheduled network audit session for efficiently and systematically determining whether policy violations and/or vulnerabilities exist.
摘要:
A prevention-based network auditing system includes a central compliance server providing a user interface allowing a user to schedule and configure a network audit. The configured audit is stored in an audit repository until its scheduled time. At such a time, the compliance server automatically invokes one or more audit servers to gather information about the network. The compliance server receives the gathered information and electronically applies a network policy to the information for determining compliance with the policy. A remediation task may be generated if the policy has been violated, and the task monitored until its completion.
摘要:
A prevention-based network auditing system includes an audit repository storing network information gathered by a plurality of heterogeneous information sources. A semantic normalization module identifies semantic equivalencies in the gathered information, and generates a map listing for each fact gathered by an information source, an equivalent fact or set of facts gathered by each of the other information sources. A network policy is then uniformly applied to the information that is identified as being semantically equivalent.
摘要:
A prevention-based network auditing system includes a central compliance server providing a user interface allowing a user to schedule and configure a network audit. The configured audit is stored in an audit repository until its scheduled time. At such a time, the compliance server automatically invokes one or more audit servers to gather information about the network. The compliance server receives the gathered information and electronically applies a network policy to the information for determining compliance with the policy. A remediation task may be generated if the policy has been violated, and the task monitored until its completion.
摘要:
A prevention-based network auditing system includes a central compliance server providing a user interface allowing a user to schedule and configure a network audit. The configured audit is stored in an audit repository until its scheduled time. At such a time, the compliance server automatically invokes one or more audit servers to gather information about the network. The compliance server receives the gathered information and electronically applies a network policy to the information for determining compliance with the policy. A remediation task may be generated if the policy has been violated, and the task monitored until its completion.
摘要:
A prevention-based network auditing system includes a central compliance server generating network policies and configuring audits of the data communications network. The compliance server presents a graphical user interface (GUI) to describe the specific data gathering parameters, policies to be analyzed, and the schedule of analysis. One or more audit servers strategically deployed around the network employ heterogeneous data-gathering tools to gather information about the network in response to the configured audits, and transmit the gathered information to the compliance server. An audit repository stores the gathered information for use by the compliance server for security and regulatory policy assessment, network vulnerability analysis, report generation, and security improvement recommendations.
摘要:
A prevention-based network auditing system includes a central compliance server storing both natural language policy documents and machine-processable policy rules in an audit repository. The compliance server provides a client-side user interface allowing a user to easily generate a machine-auditable policy by selecting/generating a natural language policy source document, and linking the applicable machine-processable policy rules to the applicable portions of the source document. The selected machine-processable policy rules are then applied to information gathered about the network during a scheduled network audit session for efficiently and systematically determining whether policy violations and/or vulnerabilities exist.
摘要:
A prevention-based network auditing system includes an audit repository storing network information gathered by a plurality of heterogeneous information sources. A semantic normalization module identifies semantic equivalencies in the gathered information, and generates a map listing for each fact gathered by an information source, an equivalent fact or set of facts gathered by each of the other information sources. A network policy is then uniformly applied to the information that is identified as being semantically equivalent.