Devo’s Time Series Forecasting capabilities allow you to analyze any time-series data set and predict the future value of a metric. Learn more at http://www.devo.com
Devo's Machine Learning capabilities can be used to monitor and model time series metrics to accurately identify, score, and alert on anomalies. Learn more at http://www.devo.com
The Quick Modeler just one component of the ML Workbench, a suite of tools designed to bring Machine Learning and Data Science Solutions to Life on the Devo Platform. Learn more at http://www.devo.com
Multi-metric Time Series Anomaly Detection is a powerful Devo capability that enables IT operators to understand and gain a broad view of their ecosystem at a glance by leveraging ML. Learn more at http://www.devo.com
This Meet the Hacker episode features Detectify Crowdsource hacker, Linus Särud aka @_zulln. He is a security researcher at Detectify and he specializes in finding web application vulnerabilities. Linus started hacking when he was in his early teens and found a bug in Google Translate.
This video covers Teramind's endpoint data loss prevention capabilities, provides a walkthrough of setting up rules and alerts to ensure proper monitoring and threat prevention.
Teramind UAM provides a comprehensive employee monitoring platform, providing user activity monitoring (UAM), user entity behavior analytics (UEBA), audit and forensics capabilities, while accommodating for data privacy requirements.
LogSentinel #PAM Protects From Log Tampering There's a significant risk for a privileged Linux user to tamper with company data and try to avoid being detected by clearing logs. Such log tampering may potentially threaten one’s business continuity. That’s why we developed LogSentinel PAM, which can be implemented in just a few steps.
Rafael Garcia discusses why El Paso Electric chose Tripwire, how Tripwire continues to provide a solid cybersecurity foundation, and why reporting in cybersecurity matters.