AI-Powered Threat Detection: Hype vs. Reality

AI marketing would have you believe that it is everywhere in cybersecurity - promising faster detection, smarter alerts, and fully autonomous defenses. But how much of it is real progress, and how much is just buzz and hype? In this webinar, we cut through the noise to examine where AI is actually helping security teams, and where it’s falling short. We’ll explore real-world examples of AI-powered detection in action, from behavioral analytics and anomaly scoring to LLM-driven phishing and file detection. We'll also expose common pitfalls: black-box decisioning, false positives, model drift, and overreliance on unproven tools. Join cybersecurity analyst Tyler Moffitt for a grounded, data-backed look at what today’s AI tools can and can’t do. Whether you're a CISO evaluating vendors or a security analyst drowning in alerts, this session will give you the clarity you need to separate fact from fiction. Key Takeaways: - Where AI is delivering value in threat detection — and where it isn’t - Red flags for AI-washing in cybersecurity tools - How to vet AI models for transparency and training integrity - How to balance automation with human expertise for faster, more reliable threat response