How a university saved $7 million and sped up threat detection

Organization

The Texas A&M University System

Industry

Higher education

Challenge

Protect high value academic and research data

Selection criteria

Increase speed and efficiency of threat detection and incident response

Results

• Faster detection of hidden cyberattackers inside the network
• Saved $7 million in one year by eliminating the need for post breach forensic analysis
• Cuts threat investigations from several days to a few minutes
• Automates the manual, timeconsuming Tier-1 analysis of security events