The alert named the event. The analyst still had to name the person — a second search, slower for newer analysts. A pipeline now names both.
The security operations center for one of the world's largest payments networks, mid-migration from a legacy SIEM to Elastic, in a regulated environment where any AI step must be fully auditable before it can be trusted in production.
When a high-stakes mainframe identity detection fired, the incident response team had to log into the legacy SIEM, run a second search through...
Global digital payments network connecting consumers, merchants, and banks.
Search AI platform for enterprise search, observability, and security solutions.
Visa's Alert investigation is part of this use case:
Related implementations across industries and use cases
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
The alert named the event. The analyst still had to name the person — a second search, slower for newer analysts. A pipeline now names both.
The security operations center for one of the world's largest payments networks, mid-migration from a legacy SIEM to Elastic, in a regulated environment where any AI step must be fully auditable before it can be trusted in production.
When a high-stakes mainframe identity detection fired, the incident response team had to log into the legacy SIEM, run a second search through...
Global digital payments network connecting consumers, merchants, and banks.
Search AI platform for enterprise search, observability, and security solutions.
Visa's Alert investigation is part of this use case:
Related implementations across industries and use cases
Rigid ML tools bottlenecked non-engineers coding with AI. Now, standardized rails and an automated AI debugger let anyone ship safely.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Finance spent six hours stitching four data sources into fully burdened cost models. Now, they use AI to generate them in minutes.
Strict privacy rules prevented sending raw call transcripts to AI. Now, an automated system safely strips and restores sensitive data.
Finding root cause meant stitching logs, traces, and metrics by hand during incidents. Now AI surfaces the hypothesis; engineers verify.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.