HW-accelerated security powered by AI and P4
What if you could detect and mitigate attacks like SYN-Floods in real time with unmatched accuracy and speed?
Join our webinar to explore how Altera and CodiLime are rethinking network security with AI-driven, P4-defined, hardware-accelerated solutions. You’ll see how FPGA-based systems can enhance network performance and minimize latency.
During the event, you can expect a live demonstration of real-time SYN-Flood detection and other actionable insights into leveraging AI for network security.
This webinar will be interesting for everyone who is looking for high-performance solutions in the area of networks.
Sign up for the webinar
Agenda
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Understand the challenges of providing modern, efficient network security solutions.
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Experience a hands-on demonstration of detecting SYN-Flood attacks using AI/ML and P4 programming language on FPGA hardware.
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Dive into the architecture and technical details behind the demo, showcasing how AI, P4 and FPGA integration enhances efficiency and reliability.
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Discover additional applications for hardware-accelerated AI in networking and explore its potential to streamline operations.
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Learn how these solutions boost system performance, reduce latency, and deliver reliable network applications.
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At the end of the webinar, there will be time for audience questions to address any uncertainties.
Meet the speakers

Mirosław Walukiewicz – Principal Engineer at Altera
With deep expertise in FPGA-based networking solutions and more than 30 years in the industry, Mirosław specializes in designing systems for wired and wireless telecommunications use cases including switching/routing, RAN, and security.
Mirosław excels in HW and SW co-design and P4 programming to deliver cutting-edge performance and make programming FPGAs easier. He works daily with customers as part of the Market Development Group defining next-generation network technologies.

Tomasz Janaszka – Solutions Architect at CodiLime
With 25 years of telco/IT experience under his belt, Tomasz has led and developed projects in network design, capacity planning, traffic engineering, resource optimization, and automating network management processes.
Tomasz is currently in CodiLime’s R&D department, where he puts his telecommunications doctorate to good use by developing practical AI/ML applications in networking.