Orlando Cybersecurity Conference

The two clocks that used to move in parallel have collapsed into one. AI now drafts 41% of all production code and ships it 3 to 5 times faster than humans can review it. The same models are writing exploits. In late 2025, an AI agent autonomously executed 80 to 90% of a real espionage campaign across 30 enterprises. Six months later, the first AI-built zero-day landed in the wild. WAFs correlate to real exploits 0.24% of the time. EDRs miss the application layer entirely. This session traces how we got here, why traditional AppSec breaks at machine speed, and what defenders do when the application itself must be the witness.

AI is already reshaping every stage of the cyberattack chain. This session takes a focused look at today’s AI‑powered threats, from automated phishing and malware generation to emerging cyber‑physical attack scenarios. Attendees will learn how AI‑driven technologies help reduce detection and response time while strengthening overall security posture.

Effective phishing defense in today’s threat landscape requires a careful balance of automation and human expertise. While Artificial Intelligence (AI) delivers unmatched speed and efficiency in processing vast amounts of data, it is not a standalone solution. To successfully combat sophisticated and evolving email threats, AI systems must be enhanced with greater accuracy, transparency, and adaptability. This is where human oversight becomes critical.

This presentation will explore the essential partnership between AI and human intelligence in creating a resilient security posture. We will discuss how integrating human-verified insights into automated systems closes critical gaps that threat actors often exploit.

Traditional preventative security models are failing in a world of zero-days, nation-state actors, and credential abuse. History proves one truth: attackers get in. This presentation challenges legacy SOC thinking and outlines an active defense, post-breach strategy focused on detection, validation, threat hunting, and rapid response—because eliminating attackers is impossible, but finding them is not.

As organizations embrace AI-powered assistants, copilots, and autonomous workflows, sensitive data is moving faster and farther across the enterprise than ever before. In this session, attendees will explore how the rise of agentic AI is reshaping the way users interact with data, applications, and digital communications, and why traditional security models are struggling to keep pace.

Learn how organizations can gain visibility into data exposure across AI-driven workflows, govern the use of generative AI tools, and apply adaptive, human-centric controls to reduce risk without slowing innovation. Through real-world examples and practical guidance, this session will highlight strategies for protecting sensitive information, mitigating insider threats, and enabling secure collaboration in today’s rapidly evolving digital workspace.

AI has evolved from a research concept into a transformative force reshaping how businesses operate and defend against cyberthreats. Its rapid growth brings powerful benefits — automating routine tasks, improving efficiency, and enabling faster, more accurate threat detection. But AI is a double-edged sword. While security teams use it to predict and stop attacks, cybercriminals exploit it to craft sophisticated phishing campaigns, deepfakes, and adaptive malware. This session explores AI’s evolution, its rapid rise in business environments, and its expanding role in today’s cybersecurity arms race. You’ll walk away with practical insights and clear steps to help your organization use AI securely, responsibly, and effectively.

Network security has reached an inflection point. As infrastructure complexity grows and AI accelerates both innovation and risk, traditional approaches built on layered tools and manual configuration are becoming harder to sustain. This session explores how modern networking architectures are evolving toward secure-by-design principles, deterministic operations, and integrated Zero Trust models that reduce complexity while improving resilience, visibility, and operational outcomes.