@RISK Technologies Presentation: Using Artificial Intelligence to Thwart Cyber Threats and Proactively Protect the Enterprise

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Presented at CyberSecuritySummitCharlotte 2019 by

Sean Brehm

All Artificial Intelligence is not the same. If A.I. mimics human behavior, what human do you mimic? @RISK presents the value of fusing human tradecraft, machine learning and big data to provide a real-time, quantified approach for managing enterprise wide cybersecurity and risk. @Risk’s application of A.I. and machine learning, fused with incident data, SIEM events, and threat intelligence results in a ‘new’ harmonized view of the network.Specifically, “Network Consensus” synchronizes existing security products using: netflow and packet capture techniques, Dark Web Queries, and Attack Avenue testing in conjunction with IBM Watson’s Machine Learning and Cognitive Computing capabilities. The result is a real-time “situational awareness” for executives, managers and technical staff that provides a single view of the enterprise’s cyber security status and is measured through a balance scorecard.The benefits of automating Post Incident Digital Forensic Investigation (DFI) and its reuse for Pre-Incident Discovery will also be discussed. The objective of the session is to demonstrate how to transform an organization’s security and risk posture, to one that is predictive, preemptive and adaptive, in order to maximize cyber defenses and minimize risk.