Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Brazil's largest digital services and media company serves eight out of ten national internet users monthly, managing over 200 applications across a complex hybrid infrastructure.
Security teams struggled with fragmented tools, spending days or hours manually retrieving logs and correlating data across separate systems. This...
“Elastic has always been a trustworthy platform thanks to its scalability and regular feature updates, especially machine learning and AI in recent releases.”
Brazilian web portal providing news, entertainment, and digital services.
Search AI platform for enterprise search, observability, and security solutions.
UOL's Security incident response is part of this use case:
Related implementations across industries and use cases
Outages once triggered 20-person war rooms. AI now isolates root causes in minutes, letting a single engineer resolve them.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Outages once triggered 20-person war rooms. AI now isolates root causes in minutes, letting a single engineer resolve them.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
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.
Teams spent days manually hunting logs across systems. Now, they use natural language to query data and resolve incidents in minutes.
Brazil's largest digital services and media company serves eight out of ten national internet users monthly, managing over 200 applications across a complex hybrid infrastructure.
Security teams struggled with fragmented tools, spending days or hours manually retrieving logs and correlating data across separate systems. This...
“Elastic has always been a trustworthy platform thanks to its scalability and regular feature updates, especially machine learning and AI in recent releases.”
Brazilian web portal providing news, entertainment, and digital services.
Search AI platform for enterprise search, observability, and security solutions.
UOL's Security incident response is part of this use case:
Related implementations across industries and use cases
Outages once triggered 20-person war rooms. AI now isolates root causes in minutes, letting a single engineer resolve them.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Securing 12,000 servers overwhelmed legacy tools. Now, analysts use GenAI to investigate and remediate threats using natural language.
Outages once triggered 20-person war rooms. AI now isolates root causes in minutes, letting a single engineer resolve them.
Fragmented tools kept analysts chasing alerts until midnight. Now, AI agents resolve routine cases so teams work standard hours.
Security fears fragmented AI usage. Now, clear guardrails and automated Slack nudges empower teams to accelerate design and code reviews.
Manually illustrating vintage assets would have tripled production time. Now, a 3-person team uses AI to generate and animate the visuals.
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.