Cyber Value-at-Risk Webinar

WannaCry, NotPetya, and TRITON demonstrate that ICS and IIoT networks continue to be soft targets for cyberattacks, increasing the risk of costly downtime, safety failures, environmental incidents, and theft of sensitive intellectual property. NIST and the NCCoE recently published a NIST Interagency Report (NISTIR) demonstrating how off-the-shelf, ICS-aware behavioral anomaly detection (BAD) effectively reduces cyber risk for manufacturing organizations, without impacting OT networks, as well as risk from equipment malfunctions.

As multi-cloud adoption accelerates, security teams are navigating the delta between each cloud provider’s native capabilities and comprehensive protection from bad actors.

To successfully stop hackers, you need to understand them; how their minds work, what their goals are, and which techniques they use to break through your defenses. In this special edition of QRadar’s Under the Radar technical demo series, NA Security Architect and QRadar expert Jose Bravo will demonstrate first hand the sophisticated ways in which hackers today compromise Windows systems, even when they are fully patched and have antivirus deployments. He will then walk through how QRadar is able to detect these SIE technology-evading attacks, keeping your most vital data safe from unwanted eyes.

AI and machine learning have proven to be valuable technologies when it comes to detecting threats at time zero and across various vectors. But there is a time and place for its usage. Join me during my monthly threat webinar and live Q&A session to learn: How you can help improve your ability to detect zero-hour threats by implementing AI/machine learning techniques. Areas in which Trend Micro has been using these AI/machine learning techniques. Why the best threat detection comes from a cross-generational blend of technologies.