Corvil Unveils App Agent, Pushing Greater Transparency Measures

Corvil has launched its new event timestamping solution, App Agent, its latest rollout designed to help foster heightened visibility into applications and Compliance Compliance In finance, banking, investing, and insurance compliance refers to following the rules or orders set down by the government regulatory authority, either as providing a service or processing a transaction. Compliance concerning finance would also be a state of being following established guidelines or specifications. This designation can also encompass efforts to ensure that organizations are abiding by both industry regulations and government legislation. Understanding ComplianceCompliance is a In finance, banking, investing, and insurance compliance refers to following the rules or orders set down by the government regulatory authority, either as providing a service or processing a transaction. Compliance concerning finance would also be a state of being following established guidelines or specifications. This designation can also encompass efforts to ensure that organizations are abiding by both industry regulations and government legislation. Understanding ComplianceCompliance is a Read this Term reporting for MiFID II and other regulatory regimes, according to a Corvil statement.

Corvil App Agent taps into a comprehensive software library backed by an API that can support multiple languages. In addition to its versatility, the solution helps provide end-to-end transaction transparency, whereby identifying bottlenecks or performance fluctuations. Moreover, App Agent also helps quantify latency within software only systems.

The solution is important for users as it also extends Corvil’s Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term capabilities into application internals, in essence allowing companies to track performance and latency of transactions via multiple events throughout the lifecycle of the software process. This amounts to greater visibility and transparency when data is sent and received, which is instrumental in an increasingly robust regulatory environment.

Overall, event identification and timestamping at a granular level is instrumental in disseminating the sequencing of events as required for MiFID II, performance management and optimization, and finally the fluctuations to understand potential malicious or anomalous activity.

These sentiments were echoed by Corvil’s Chief Executive Officer (CEO), Donal Byrne, who explained the app in a recent statement: "The Corvil App Agent is an important extension of our capability providing low-overhead visibility and transparency to the performance of application internals. Now, our customers can have have a precise view of all events that happen both between machines and within machines from one single analytics platform.”