Overwhelmed by 10,000+ daily alerts, analysts now use AI to query threats in plain language, turning hours of log-chasing into minutes.
A global construction leader with 4,500 employees responsible for major infrastructure projects, operating with a lean IT team that struggled to secure a rapidly expanding enterprise.
The security team was overwhelmed by tens of thousands of daily alerts across disparate legacy tools, lacking automated triage or a unified...
“SentinelOne was the clear winner when compared against all our requirements. It’s part of an overall strategy to help us mature our security practice.”
General contractor for civil infrastructure, industrial, and commercial projects.
Autonomous AI-powered cybersecurity platform for endpoint and cloud protection.
Sundt's Threat detection is part of this use case:
Related implementations across industries and use cases
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Unmonitored nights left PA schools exposed to breaches. AI now monitors networks 24/7, automatically rolling back compromised devices.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Unmonitored nights left PA schools exposed to breaches. AI now monitors networks 24/7, automatically rolling back compromised devices.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
Overwhelmed by 10,000+ daily alerts, analysts now use AI to query threats in plain language, turning hours of log-chasing into minutes.
A global construction leader with 4,500 employees responsible for major infrastructure projects, operating with a lean IT team that struggled to secure a rapidly expanding enterprise.
The security team was overwhelmed by tens of thousands of daily alerts across disparate legacy tools, lacking automated triage or a unified...
“SentinelOne was the clear winner when compared against all our requirements. It’s part of an overall strategy to help us mature our security practice.”
General contractor for civil infrastructure, industrial, and commercial projects.
Autonomous AI-powered cybersecurity platform for endpoint and cloud protection.
Sundt's Threat detection is part of this use case:
Related implementations across industries and use cases
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Unmonitored nights left PA schools exposed to breaches. AI now monitors networks 24/7, automatically rolling back compromised devices.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Manual alert triage overwhelmed analysts. Now, AI resolves 80% of threats autonomously, freeing teams for proactive threat hunting.
Unmonitored nights left PA schools exposed to breaches. AI now monitors networks 24/7, automatically rolling back compromised devices.
Data silos blocked real-world simulation. Now, teams validate site physics and safety risks on a unified digital twin.
A fragmented tech stack created cumbersome workflows for agents. Now, AI automatically routes cases, slashing first response time from 144 to 34 mins.
12,000 employees overwhelmed 20 IT agents. AI now resolves routine tickets, cutting calls 30% to support 2x scale without new hires.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.