The true power of a unified approach lies in the ability to automate the analysis of significant volume, velocity, and variety of data, provide mechanisms for human input, and “learn” and become more intelligent through feedback. There are many specialized tools for analysis of domain-specific data—such as security data—so it makes sense to allow those domain-specific tools to continue to perform analysis as they currently exist.
But a unified approach takes analysis a step further by feeding domain-specific information into a high-scale analytics engine to analyze cross-domain issues. This is critical for both real-time issue identification and alerting, and for advanced forensic activities. An important outcome is a team’s ability to track a suspect IP address or user session across operational domains and give it more visibility than is typical with IT operations teams.
The use of application performance monitoring tools that measure and track end-user performance and operations is also necessary. As a result, you can connect poor application performance to a database query that’s being abused by a hacker, or a poor user experience to a corrupt database index.
Whether you’re confronted with a security issue or an operational one, connecting all endpoints into a single tiered-analysis engine gives you shorter time to identification and faster troubleshooting through increased visibility.
Learn what else can Security Analytics tool can do for your business? www.hp.com/go/security
Helloo myy friend! I want to say that this post is awesome, nice written and com with almost alll implrtant infos.
I’d like to look extra posts like this .