Big Data Use in Identifying Cyber and Operational Threats

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Presented at ICScybersecCon 2014 by

Mark Gazit

The adoption of connected, Internet-facing technology, remote access, and mobility has created vulnerable spaces for industrial organizations, where security – more times than not – is an afterthought at best. While threats in the shape of cyber-attacks, unintentional cyber incidents, and operational faults escalate, enterprise grade solutions are technologically incapable and unequipped to handle the internal IT and OT complexity in the industrial sector. Looming threats, which can be caused by an adversary or human error, could impact the entire organization’s production, safety and revenues. Your organization relies on ICS, SCADA, DCS PLC and field controllers to carry out its business mission. Part of solving its industrial cybersecurity challenge, we will discuss the power of hyper dimensional, multi domain big data analytics to significantly bolster cyber and operational security. We will clarify and focus on how new technology can now cohesively and simultaneously analyze all the data your organization generates, including SCADA traffic, plant control systems, engineering workstations, substation equipment, PLCs etc. The result: finding the earliest signs of cyber-attacks and impending operational incidents, to stop threats before they become problems, and protect the entire infrastructure from unplanned downtime. Examples we will review will show how cyber-attacks can impact critical assets on infrastructure like oil rigs and power plants, and how such disasters can be stopped and prevented before damage can ever occur.