Predictive Maintenance with Measurable ROI and Minimal Risk
Tom Craven, VP of Product Strategy • RRAMAC Connected Systems
Between cloud, IoT, 5G, and global supply chains, the modern enterprise is increasingly complex and increasingly vulnerable. Manufacturers in particular have become the target of choice, in part due to the rapid adoption of IIoT devices. Across ICS and SCADA networks, self-learning cyber AI is powering real-time threat detection, autonomous response, and investigation, serving as a force multiplier for strained security teams and enabling businesses to safely keep pace with innovation.
In this session, you will learn:
How today's attackers are exploiting increased connectivity between IT and OT to disrupt critical environments
How the first AI security system ever deployed across ICS and SCADA networks understands and learns the patterns of life for unique operational environments
Where AI shines a light on key blind spots to provide visibility across the digital infrastructure, including ICS, cloud, email, and the on-premise network.
How cyber AI has neutralized real-world threats to a medical manufacturing company’s IP, a transportation center’s IoT devices, and a major organization’s assembly line
Tom Craven is the Vice President of Product Strategy at RRAMAC Connected Systems, a “Software as a Service” (SaaS) company that provides remote monitoring, analytics, and mobile apps for industrial equipment for the past 14 years. Tom has both hands on technical experience and commercial expertise across many industrial markets. He has spoken at numerous conferences on predictive maintenance, cybersecurity, IIoT, and Industry 4.0.