Sadi Steffl is a Manager at Darktrace, the world’s leading machine learning company for cyber defense. She has worked extensively with global financial institutions to world class hotels and casinos, helping them deploy Darktrace’s Enterprise Immune System, the only AI technology capable of detecting and autonomously reposing to early-stage cyber-threats. Sadi is a graduate of the UC Berkley Haas School of Business and received her Bachelor’s from University of Nevada, Las Vegas with a concentration in Psychology, Sociology and Anthropology. Sadi is a member of the San Francisco Chapter of ISSA.
The New Era of Cyber-Threats: The Shift of Self-Learning, Self-Defending Networks
With machines fighting machines and increasingly sophisticated human attackers, we are now entering a new era of cyber-threats. The battle is no longer at the perimeter but inside of our organizations, and no security team can keep up with its speed. Cyber-attackers are quickly becoming silent and stealthy, and cyber defense has turned into an arms race.
This new wave of cyber-threats has seen skilled attackers that may lie low for weeks or months. By the time they take definitive steps, their actions blend in with the everyday hum of network activity. These attacks call for a change in the way we protect our most critical assets.
Self-learning and self-defending systems are now being deployed to continually assess business environments. Known as ‘immune system’ defense, this approach is used to uncover threats that have already penetrated the network border, and then automatically fight back. Unlike legacy approaches, which rely on rules or signatures, these technologies work autonomously, enable the security team to focus on high-value tasks, and can counter even fast-moving, automated attackers. In this session, Sadi will discuss this new strategy and technical approach with the assistance of Kevin McDonald, CISO of Alvaka Networks.