Analysts drowned in 8 trillion weekly events. GenAI agents now summarize incidents in seconds, replacing hours of manual triage.
An operator of one of the world's largest security operations centers manages over 8 trillion weekly events to protect thousands of organizations.
As data volumes reached petabytes, fragmented signals and disconnected storage systems made manual correlation increasingly difficult. Analysts...
“Databricks enables us to unify massive volumes of security data and build AI directly into our workflows — empowering our experts to deliver faster, more reliable threat detection for the thousands of organizations we protect.”
Managed detection and response (MDR) and cybersecurity operations platform.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Analysts drowned in 8 trillion weekly events. GenAI agents now summarize incidents in seconds, replacing hours of manual triage.
An operator of one of the world's largest security operations centers manages over 8 trillion weekly events to protect thousands of organizations.
As data volumes reached petabytes, fragmented signals and disconnected storage systems made manual correlation increasingly difficult. Analysts...
“Databricks enables us to unify massive volumes of security data and build AI directly into our workflows — empowering our experts to deliver faster, more reliable threat detection for the thousands of organizations we protect.”
Managed detection and response (MDR) and cybersecurity operations platform.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Service providers couldn't staff 24/7 security. Now, AI agents triage alerts and block threats, letting analysts manage 10x more clients.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.