Invitation only CISO Dinner & Discussion

Interactive topics discussed will be led by Rob Barton, CTO for Cisco Canada.

Join us as we discuss the transformative potential of AI, empowering CISOs to stay ahead of cyber threats in the FSI landscape.

As cyber threats evolve, CISOs are under ever-increasing pressure to protect critical data and maintain resilient networks. AI is now delivering unprecedented levels of threat and anomaly detection, enabling proactive defense against malware, phishing, and insider threats.

This session will explore the transformative effects of AI, particularly the implementation of domain-specific Language Models (LLMs), in enhancing security operations. We will explore the choice between various AI models—from open-source options like LLama2 to third-party offerings like GPT-4—and how custom solutions may be used for specific use cases. Lastly, we will emphasize the critical need for extensive, up-to-date domain-specific training data to ensure LLMs remain current and effective against the latest security trends and threats.

Agenda:
• 5:30 – 6:15 – Drinks & Networking
• 6:15 – 6:35 – Discussion by Rob
• 6:35 – 8 PM – CISO Dinner and roundtable discussion

Location: Modus Ristorante – Address: 145 King St W, Toronto, ON M5H 1J8, Canada
When: Wednesday, April 10th, 2024 | 5:30pm – 8:00pm

Rob Barton Bio:
Rob Barton, P. Eng, is the CTO of Cisco Canada and is a Cisco Distinguished Engineer. Rob has worked in the IT industry for over 25 years, the last 23 of which have been with Cisco. Rob Graduated from the University of British Columbia with a degree in Engineering Physics. Rob is a successful author, with books published on Network Quality of Service (QoS), Wireless Communications, and IoT. Additionally, he has also co-authored many academic research papers and leads Cisco’s academic research partnership program. Rob also holds numerous patents in the areas of wireless communications, network security, cloud networking, IoT, and Machine Learning. His current areas of work include wireless communications of all types, IT/OT convergence, network automation, and AI/ML in networking systems.

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