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. If security fails, it goes well beyond IT to impact the business and our customers.”
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.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.
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. If security fails, it goes well beyond IT to impact the business and our customers.”
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.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Manual 12-day checks for EU deforestation rules created risk. Now, an AI traces the supply chain in 3 minutes, ensuring full compliance.
Answers scattered across hundreds of SharePoint docs drove repetitive support tickets. An air-gapped AI now surfaces them in seconds.
Each incident sent engineers hunting for context from scratch, inconsistently across teams. Edwin AI now delivers it upfront.