Predictive Cyber Security

Gidi Cohen, Skybox Security, San Jose, CA

Stevenson Hall 1300
12:00 PM - 12:50 PM

Using risk modeling and attack simulation to reduce network security exposures and avoid cyber attacks, IT professionals are proving that it is possible to secure networks from cyber attacks even in the most demanding real-world environments. The key is to enhance proactive security capabilities to plan for and take steps to prevent attacks before they happen. Risk modeling and attack simulation technologies allow IT professionals to visualize and simulate the interaction of a complex set of factors such as network topology device settings, potential threats, access policies, attacker techniques, known vulnerabilities, and more. This lecture will show you how to use proactive security technologies in real-world scenarios to find and eliminate network security risks. We will demonstrate a best-practices approach based on lessons learned in using near real-time network modeling, vulnerability management and attack simulation to find, predict, and prevent attacks against global networks. In addition, we will discuss how to quantify and communicate security risks for executive decision-making, as well as translate security risk management objectives into effective IT processes for risk assessments, change control, compliance management, and more.