5 Easy Ways to Use LLMs to Better Detect Phishing Attacks

Presented by

Adithya Singh, Machine Learning Engineer at Bolster

About this talk

Join us in this informational webinar where we cover 5 easy ways you can integrate Large Language Models (LLMs) in your current phishing detection strategy. Adithya Singh, Machine Learning Engineer at Bolster, will explore the practical applications of Large Language Models (LLMs) in enhancing security measures within your organization. These state of the art have optimized Bolster’s brand detection, takedown workflows and computer vision metrics. We discuss how Bolster has utilized LLMs to enhance security against phishing attacks and typosquat scams. Also, find out new upcoming ways Bolster will be using LLMs in 2024 to enhance your cybersecurity. In this session, you will learn about: - LLMs in brand detection - Webpage Intent detection - The SecOps Copilot - LLMs in threat hunting - Full threat detection with LLMs
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Thought provoking webinars featuring cybersecurity subject matter experts discussing recent trends on generative AI, information security, phishing attacks, threat intelligence, large language models, trademark infringement, online scam and fraud, SecOps excellence, dark web insights, brand protection, and more! The channels is educational for for CIOs, CISOs, S/VPs, Directors, Managers, Architects, Engineers, SecOps and Analysts in Security and IT.