Registration + Breakfast + Networking

FDOT's vision and preparation for autonomous vehicles - focusing on safety and security

Potential of National State Actors to leverage AI against American Enterprises

Industrial control systems run our world: water, electricity, manufacturing. How and why do they work they do? Why should you care if you're "only in IT"? And most importantly, how can we defend them?

This talk explores how knowledge graphs, combined with robust knowledge governance, provide a foundation for organizing and enriching drone data. By integrating Large Language Models (LLMs) using a GraphRAG (Graph Retrieval-Augmented Generation) approach, we can support a natural language interface for question-answering and analysis. This approach not only ensures consistent, context-aware insights but also mitigates common LLM issues such as hallucination and misinformation. A practical use case involving drone data is used to show how aligning AI capabilities with a knowledge governance framework enhances data utilization, aids decision-making, and can set new standards for operational efficiency.

Update on what we are seeing in regards to Cyber Trends as it relates to the IC3 (Internet Crime Reporting Center) reporting here in the FBI Tampa Bay AOR (Authorized Organization Representative)

Security teams face challenges managing and analyzing vast amounts of threat data across their tools and systems. Learn how graph analytics on data lakes enables cost-effective processing of historical security data at scale, revealing complex threat patterns and relationships that traditional approaches might miss. We'll demonstrate real-world applications for enhanced threat detection using SIEM and CAASM data.

Enjoy a lunch buffet while networking with peers

Top of mind concerns for CISOs in AI, emerging threat trends and new technologies

What is beyond transformer models? How do we achieve deterministic outputs? How do move toward AGI? What other models look promising?

While enabling revolutionary use cases, AI also introduces new security risks. This talk explores best practices and shares lessons learned for successfully and securely deploying AI capabilities across the enterprise.

2024 Recap: Key cyber threats that impacted critical sectors, from ransomware to supply chain vulnerabilities, and the lessons learned.

Cloud Defenses: A look at how cloud providers address modern threats, the importance of proper configurations, and strategies for leveraging cloud security effectively.

Common Oversights: Gaps in playbooks, procedures, and automations that hinder effective incident response, and actionable steps to enhance readiness and cohesion.

Future Outlook: The role of AI in both advancing cyber threats and shaping the future of defensive strategies, and how organizations can stay ahead in an evolving threat landscape.

Recharge with some ice cream and snacks!

Agentic Systems what is currently being done in the industry and what are the security concerns

Industries around the world rely on industrial control systems (ICS) to keep operations running smoothly. With countless machines, processes, and components constantly in motion, it can be overwhelming to monitor and protect every device. In this fast-paced environment, the importance of understanding the devices in your network, their activities, and their behavior cannot be ignored. With limited physical access to these devices, relying on a proactive approach to device discovery, analysis, and threat detection is crucial to maintaining a secure environment.

Hop aboard as James takes you on a candid journey beyond the AI hype train, showing how to effectively plan and deliver Generative AI solutions within the enterprise while avoiding the common derailments that can throw projects off track. This session will cut through the noise, providing a clear understanding of what really works when scaling AI initiatives and how to sidestep the pitfalls that often accompany the excitement.

James will dive into the practical realities of selecting, envisioning, planning, and executing Generative AI projects. Instead of theory, this session will focus on real-world lessons, explaining why some approaches succeed and others fail. Attendees will walk away with critical insights into how top enterprises tackle the challenges of Generative AI by using strategies that have been proven to deliver results.

A highlight of the session will be James' experience in building a Center of Excellence (CoE) to foster continuous learning and innovation. Through real-world examples, attendees will learn how a CoE can drive AI adoption, create a collaborative culture, and keep the Generative AI initiative on the rails. This session offers actionable insights for building a CoE that ensures smooth, successful AI implementation and long-term enterprise value.

Get equipped with the knowledge and tools to steer your organization past the hype and into the future of Generative AI, avoiding the traps and ensuring a smooth ride toward AI-driven innovation.

This session is for all audiences

Ways to utilize AI to determine optimum resources for security and resiliency on your infrastructure

Across all industries, from finance, healthcare, entertainment, there is an attempt to implement AI/LLMs. This panel will explore these attempts in order to learn what has worked, what has failed by sharing practical insights, real-world experiences, and lessons learned regarding AI and LLM implementations.
Through frank discussions on what the panelists have seen in the wild, participants will gain a pragmatic understanding of how to effectively identify AI opportunities and structure successful proof of concepts and/or execute on ongoing projects. The hope is that this knowledge exchange will help attendees develop realistic implementation strategies aligned with their business objectives.

We are aiming for an interactive panel discussion where the topics being discussed are influenced by the audience.

The AI/LLM Panel will offer a distinct perspective from the CISO Panel, though some thematic overlap may occur. While the CISO Panel will exclusively feature CISOs, the AI/LLM Panel will convene a diverse group of AI/LLM subject matter experts and CISOs. This panel will delve into real-world observations, implementation best practices, and security considerations related to AI/LLM.

To foster a more inclusive and interactive environment, the AI/LLM panel will be integrated with the happy hour. This format encourages open dialogue and allows attendees to engage in casual, yet insightful, conversations about AI/LLM in a relaxed setting. Recognizing that many attendees are in the early stages of exploring AI/LLM Proof of Concepts, this approach aims to provide a safe space for knowledge sharing and inquiry, where all questions are welcomed and valued.

Network with peers while enjoying cocktails, refreshments and Hors d'Oeuvres.

AI/LLM Panel: What Worked? What failed? Lessons Learned will