Analysts manually investigated hundreds of daily security alerts. Now, AI automates triage, leaving just one actionable threat a week.
A $3.6B manufacturing leader operating across more than 200 global locations designs and engineers the critical machinery that powers everyday production for packaging, food, and beverage systems.
Legacy security tools degraded endpoint performance and generated hundreds of daily alerts, overwhelming analysts with noise. Slow, manual...
“Our sites share data across regions, and customers trust us with theirs.”
Global provider of manufacturing technology and engineering consulting services.
Autonomous AI-powered cybersecurity platform for endpoint and cloud protection.
Barry-Wehmiller's Threat detection is part of this use case:
Related implementations across industries and use cases
Overwhelmed by 10,000+ daily alerts, analysts now use AI to query threats in plain language, turning hours of log-chasing into minutes.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
Analysts lost hours manually parsing firewall spreadsheets. Now, AI automatically triages alerts, escalating just 1% for human review.
Overwhelmed by 10,000+ daily alerts, analysts now use AI to query threats in plain language, turning hours of log-chasing into minutes.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Analysts manually investigated hundreds of daily security alerts. Now, AI automates triage, leaving just one actionable threat a week.
A $3.6B manufacturing leader operating across more than 200 global locations designs and engineers the critical machinery that powers everyday production for packaging, food, and beverage systems.
Legacy security tools degraded endpoint performance and generated hundreds of daily alerts, overwhelming analysts with noise. Slow, manual...
“Our sites share data across regions, and customers trust us with theirs.”
Global provider of manufacturing technology and engineering consulting services.
Autonomous AI-powered cybersecurity platform for endpoint and cloud protection.
Barry-Wehmiller's Threat detection is part of this use case:
Related implementations across industries and use cases
Overwhelmed by 10,000+ daily alerts, analysts now use AI to query threats in plain language, turning hours of log-chasing into minutes.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
Analysts lost hours manually parsing firewall spreadsheets. Now, AI automatically triages alerts, escalating just 1% for human review.
Overwhelmed by 10,000+ daily alerts, analysts now use AI to query threats in plain language, turning hours of log-chasing into minutes.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Misclassified tickets drove needless escalations. Now, an AI agent auto-routes cases and surfaces 1-click resolutions for support teams.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.