Using Big Data & Machine Learning to Uncover Hidden Cyber Threats - Seguridad Mania.com - España y América Latina

As we’ve learned from the recent WannaCry and Petya attacks, attackers can now bypass not only antivirus systems but more advanced, next-generation security systems and put large enterprises out of service.  Today, detecting advanced attacks requires understanding their behavioral patterns and analyzing massive amounts of data in near real time. This can be achieved by using machine learning, behavioral analysis and big data security analytics. Join us on this webcast and learn how Cyberbit Endpoint Detection is using next generation technologies originally developed for confidential military projects, to detect threats that outsmart conventional security solutions. What you will learn: -Why most organizations are vulnerable to advanced cyberattacks even after deploying security systems -How behavioral detection and machine learning can surface a cyber threat that penetrated the organization - before damage was done. -How you can detect zero-day attacks and accelerate response and slash SOC operation cost -How Cyberbit uses Vertica with near real-time data ingestion and advanced data transformation from hundreds of thousands endpoints