Abstract: Methods, systems, and devices for managing requests are described. A software platform may receive a request associated with a first programming language. The software platform may determine a first mixture associated with the request. The first mixture may be based on a first language model corresponding to the first programming language. The software platform may determine a second mixture associated with the request. The second mixture may be based on a second language model corresponding to a second programming language. The second programming language may be different from the first programming language. The software platform may execute or refrain from executing the request based on the first mixture and the second mixture.

Abstract: Arrangements for detecting, evaluating and controlling intelligence threat data feeds are provided. In some examples, a plurality of threat intelligence data feeds may be received. The threat intelligence data feeds may be received and evaluated to identify one or more feeds that are considered to provide valuable information to the entity implementing the evaluation. For instance, the evaluation may identify one or more feeds or providers that provides accurate data, timely data, and the like. In some examples, based on the evaluation, one or more data feeds may be removed (e.g., data might not be received), one or more alerts may be generated or dismissed, alerts generated for potential threats may be prioritized (e.g., alerts generated based on data from more accurate feeds are prioritized over alerts generated based on data from less accurate feeds).

Abstract: Arrangements for dynamically determining actionability of incidents of compromise are provided. In some examples, a plurality of threat intelligence data feeds may be received. The feeds may be analyzed to identify one or more incidents of compromise. In some examples, each incident of compromise may be further evaluated to identify an intelligence type associated with the incident of compromise. Based on the intelligence type, system logs may be evaluated to determine whether they include an occurrence of the incident of compromise. If so, the incident of compromise may be identified as actionable. If not, the incident of compromise may be identified as inactionable. In some examples, additional information associated with actionable incidents of compromise may be retrieved and evaluated to prioritize further processing of the actionable incident of compromise.

Abstract: Arrangements for detecting, evaluating and controlling intelligence threat data feeds are provided. In some examples, a plurality of threat intelligence data feeds may be received. The threat intelligence data feeds may be received and evaluated to identify one or more feeds that are considered to provide valuable information to the entity implementing the evaluation. For instance, the evaluation may identify one or more feeds or providers that provides accurate data, timely data, and the like. In some examples, based on the evaluation, one or more data feeds may be removed (e.g., data might not be received), one or more alerts may be generated or dismissed, alerts generated for potential threats may be prioritized (e.g., alerts generated based on data from more accurate feeds are prioritized over alerts generated based on data from less accurate feeds).