Abstract: According to examples, an apparatus may include a processor and a computer readable medium on which is stored machine readable instructions that may cause the processor to receive a request for a webpage from a web browser. The processor may send webpage code of the webpage to the web browser and the webpage may load a secure webpage for a sensitive data field that is separate from the webpage. A secure server may provide the secure webpage, which may correspond to an identifier that points to the secure server. By receiving the sensitive data into the sensitive data field of the secure webpage, the sensitive data may be protected from a script loaded in the webpage. In addition, the processor may receive the sensitive data from the secure server.

Abstract: According to examples, an apparatus may include a processor and a computer readable medium on which is stored machine readable instructions that may cause the processor to receive a request for a webpage from a web browser. The processor may send webpage code of the webpage to the web browser and the webpage may load a secure webpage for a sensitive data field that is separate from the webpage. A secure server may provide the secure webpage, which may correspond to an identifier that points to the secure server. By receiving the sensitive data into the sensitive data field of the secure webpage, the sensitive data may be protected from a script loaded in the webpage. In addition, the processor may receive the sensitive data from the secure server.

Abstract: The present invention extends to methods, systems, and computer program products for adaptive electronic message scanning. Embodiments of the invention relate to dynamically (and potentially unpredictably) varying the depth/thoroughness of classifying electronic messages to protect against undesirable message content (e.g., SPAM, viruses, digital leakage, etc.). A minimum effectiveness is maintained and, when available resources permit, can be exceeded to provide increased protection. An optimal subset of available message classification rules can be selected on a per message basis. The selection of rules is based on available system resources, minimum desired effectiveness (e.g., defined in a Service Level Agreement (“SLA”)), and rule characteristics. Feedback loops can be used to optimize selected classification rule subsets.

Abstract: The present invention extends to methods, systems, and computer program products for adaptively selecting electronic message scanning rules. Embodiments of the invention relate to dynamically (and potentially unpredictably) varying the depth/thoroughness of classifying electronic messages to protect against undesirable message content (e.g., SPAM, viruses, digital leakage, etc.). A minimum effectiveness is maintained and, when available resources permit, can be exceeded to provide increased protection. An optimal subset of available message classification rules can be selected on a per message basis. The selection of rules is based on available system resources, minimum desired effectiveness (e.g., defined in a Service Level Agreement (“SLA”)), and rule characteristics. Feedback loops can be used to optimize selected classification rule subsets.

Abstract: The present invention extends to methods, systems, and computer program products for adaptively selecting electronic message scanning rules. Embodiments of the invention relate to dynamically (and potentially unpredictably) varying the depth/thoroughness of classifying electronic messages to protect against undesirable message content (e.g., SPAM, viruses, digital leakage, etc.). A minimum effectiveness is maintained and, when available resources permit, can be exceeded to provide increased protection. An optimal subset of available message classification rules can be selected on a per message basis. The selection of rules is based on available system resources, minimum desired effectiveness (e.g., defined in a Service Level Agreement (“SLA”)), and rule characteristics. Feedback loops can be used to optimize selected classification rule subsets.

Abstract: The present invention extends to methods, systems, and computer program products for adaptive electronic message scanning. Embodiments of the invention relate to dynamically (and potentially unpredictably) varying the depth/thoroughness of classifying electronic messages to protect against undesirable message content (e.g., SPAM, viruses, digital leakage, etc.). A minimum effectiveness is maintained and, when available resources permit, can be exceeded to provide increased protection. An optimal subset of available message classification rules can be selected on a per message basis. The selection of rules is based on available system resources, minimum desired effectiveness (e.g., defined in a Service Level Agreement (“SLA”)), and rule characteristics. Feedback loops can be used to optimize selected classification rule subsets.