High costs forced SAP to analyze only a data subset. AI now automates rule creation, letting analysts scan all logs for threats.
One of the world’s largest private cloud providers manages over 200,000 virtual machines and must ensure strict log transparency for global customers and auditors.
As data volumes tripled, high ingestion costs forced the security team to analyze only a subset of data in real-time, leaving valuable historical...
“With Anvilogic on Databricks, we process threats faster than ever — reducing engineering time by 80% and increasing rule deployment speed 5–6x. We’ve gained speed, visibility, cost savings and full control over our data.”
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
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
Analysts drowned in 8 trillion weekly events. GenAI agents now summarize incidents in seconds, replacing hours of manual triage.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Analysts drowned in 8 trillion weekly events. GenAI agents now summarize incidents in seconds, replacing hours of manual triage.
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.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.
High costs forced SAP to analyze only a data subset. AI now automates rule creation, letting analysts scan all logs for threats.
One of the world’s largest private cloud providers manages over 200,000 virtual machines and must ensure strict log transparency for global customers and auditors.
As data volumes tripled, high ingestion costs forced the security team to analyze only a subset of data in real-time, leaving valuable historical...
“With Anvilogic on Databricks, we process threats faster than ever — reducing engineering time by 80% and increasing rule deployment speed 5–6x. We’ve gained speed, visibility, cost savings and full control over our data.”
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
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
Analysts drowned in 8 trillion weekly events. GenAI agents now summarize incidents in seconds, replacing hours of manual triage.
Teams disabled features to cope with alert floods. AI agents now triage threats and cut 40-hour integration builds to 5 minutes.
Manual teams couldn't catch scams that vanish in an hour. AI now filters noise and classifies threats, cutting response time to minutes.
Analysts drowned in 8 trillion weekly events. GenAI agents now summarize incidents in seconds, replacing hours of manual triage.
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.
Endpoint blind spots exposed critical operations. Now, AI automatically investigates and summarizes alerts so analysts act faster.
IT reporting took 10 mins while shoppers waited. AI now captures tickets via voice or text, cutting resolution time from 2 hours to 30 mins.