Outsmarting Cyber Threats: How Large Language Models Can Revolutionize Email Security

Email remains one of the most common vectors for cyber attacks, including phishing, malware distribution, and social engineering. Traditional methods of email security have been effective to some extent, but the increasing sophistication of attackers demands more advanced solutions. This is where Large Language Models (LLMs), like OpenAI's GPT-4, come into play. In this article, we explore how LLMs can be utilized to detect and mitigate email security threats, enhancing overall cybersecurity posture.

Understanding Large Language Models

What Are LLMs?

LLMs are artificial intelligence models that are trained on vast amounts of text data to understand and generate human-like text. They are capable of understanding context and semantics and can perform a variety of language-related tasks.

Shortened Links, Big Risks: Unveiling Security Flaws in URL Shortening Services

In today's digital age, URL-shortening services like TinyURL and bit.ly are essential for converting lengthy URLs into short, manageable links. While many blogs focus on how to build such systems, they often overlook the security aspects. Here, we have threat-modeled the URL shortening service and identified the top threats based on OWASP Top 10.

Let's begin with the overview of the URL shortening service.