Have one perspective across the entire kill chain to better define and stop new and advanced threats fast
Using Splunk UBA to Detect Cyberattacks
Drop traditional security in favor next-gen solutions tailored to meet next-gen threats
Anomaly detection and machine learning will help you detect unknown and advanced threats
At the Speed of Business
Search and correlate from different sources of data to better track advanced threats
Splunk helps security teams make decisions with higher confidence when discerning between anomalies that are malicious vs. simply actionable.
Splunk enables security analysts to apply advanced statistical analysis and machine learning techniques to find outliers and anomalies that help pinpoint key characteristics of different types of threats, for example insider threat vs. malware infection.
Splunk enables organizations to accelerate SecOps maturity by operationalizing their findings, for example when establishing priority alerts for certain known endpoint vulnerabilities associated with high-profile breaches.
Don't notice a breach 100 days into it
Apply the Kill Chain Methodology
Find indicators of compromise and important hidden relationships in your machine data via logs from malware analysis solutions, emails and web solutions that represent activities in different stages of the kill chain.
Teams can look up, down and across the security and IT technology stack as well as look back in time to find, analyze and respond to activities associated with compromised hosts and advanced threats.
Be Ready for the Threat Before It Happens
By applying Splunk analytics, new accounts can discover additional indications of compromise, enhancing the ability to detect advanced threats.