We live very “smart” lives equipped to stay connected anywhere, any time. Getting connected is easy, securing it may be a fool’s errand if not approached properly. Say goodbye to the days of signature-based detection and say hello to IoT data anomaly and volatility predictive analysis for advanced “on the go” monitoring, detection and response. In this podcast, we will discuss novel approaches in using data analytics models from financial market trading systems (quant) to determine security volatility when faced with unprecedented and overwhelming volumes of data. We’ll propose potential solutions called the Cyber VIX and engineering concepts to test cyber defenses such as the “shake down test” and where failures and blind spots can be predicted and modeled. Speakers: Peter Tran, CISO & EVP Global Cyber and Product Security Solutions, InferSight LLC Kacy Zurkus, Content Strategist, RSA Conference